JAVASCRIPT CHARTING. Scaling for the Enterprise with Metric Insights Copyright Metric insights, Inc.

Size: px
Start display at page:

Download "JAVASCRIPT CHARTING. Scaling for the Enterprise with Metric Insights. 2013 Copyright Metric insights, Inc."

Transcription

1 JAVASCRIPT CHARTING Scaling for the Enterprise with Metric Insights 2013 Copyright Metric insights, Inc.

2 A REVOLUTION IS HAPPENING... 3! Challenges... 3! Borrowing From The Enterprise BI Stack... 4! Visualization Layer... 4! Source Data Layer... 5! RDBMS sources... 6! Big Data sources... 6! SaaS and Cloud Application data... 6! Business Intelligence Tool data... 6! Data Connection Layer... 7! Load Management... 7! Error Handling... 7! Schedules... 7! Data Dependencies... 7! Data Caching Layer... 8! Data Formatting... 8! Data Thinning... 8! Lifecycle Management... 8! User Management and Security Layer... 8! Alerting & Distribution Layer... 9! Collaboration Layer... 9! METRIC INSIGHTS SOLUTION... 10! BI TOOLS DON T SUPPORT THIS... 11! 2013 Copyright Metric insights, Inc.

3 A REVOLUTION IS HAPPENING A revolution is happening. New JavaScript Visualization libraries now make it possible for anybody to create beautiful and powerful web-based visualizations in data. The days requiring a team of developers or expensive business intelligence tools are over. Inspired by the cool, interactive graphics in Nate Silvers NYT election blog, web developers and business intelligence professionals are embracing these technologies across the enterprise. A visualization smorgasbord awaits us all, but there are a number of challenges that are holding the feast in check. Challenges The accessibly of the JavaScript Visualization libraries make it easy for anybody with a little programming expertize and sense of design to build engaging visualizations. The challenge arises when you go beyond a handful of visualizations with static data sets to an enterprise-scale solution with many visualizations, with changing data from different data sources, and scores of users with different consumption needs and security requirements. Most of the JavaScript Visualization examples on the web today show a dynamic chart with a static data set. But what has to happen to scale that across the enterprise? How do you load balance across multiple data sources? How do you ensure the wrong users do not see sensitive data? How do go to sleep at night knowing that you have a stable system and will wake up in the morning with happy users? Page 3

4 Borrowing From The Enterprise BI Stack It turns out that the traditional business intelligence (BI) tools have solved many of these problems. The traditional BI stack is worth looking at to identify components that need to be addressed in a JavaScript Visualization deployment. Most notable in the stack diagram comparison below is the number of areas that are missing from a JavaScript Visualization deployment. Each of these areas must be taken into consideration to create an enterprise-scale JavaScript Visualization solution. Visualization Layer The traditional BI stack has a proprietary visualization component built in as part of the solution. Typically, you can choose different visualizations from a pre-set library, but you don t have an option to change the libraries. Page 4

5 A major characteristic of choosing to go with a JavaScript Visualization solution is you can choose the visualization library that makes the most sense for you. JavaScript Visualization libraries abound. Different libraries are optimized for different purposes and audiences. You will want to choose the appropriate library depending on your needs. For example, commercial support might be more important for your organization. Or, perhaps, creating visualizations with a unique look and feel might be your highest concern. Another advantage of JavaScript Visualization libraries is that you can easily combine different visualization libraries to leverage the strengths of each library to most elegantly solve a given visualization challenge. Some of the more popular libraries include: Highcharts*+*www.highcharts.com* FusionCharts*+*www.fusioncharts.com* D3*+*www.d3js.org* Google*Charts* *developers.google.com/chart/* There are many other libraries with different purposes as well. For a more comprehensive list, see this article: 50 JavaScript Libraries for Charts and Graphs Source Data Layer All enterprises are characterized by the growing diversity of data sources. The ideal of a single data warehouse that captures all the data in an enterprise has quickly passed to the reality of multiple data silos as new services are implemented at departmental levels and new SaaS applications are introduced. The following are some considerations that must be taken with different types of data sources. Page 5

6 RDBMS sources Microsoft SQL Servers, Oracle Servers, MySQL databases and many others are commonly deployed in most enterprises. A successful JavaScript Visualization system must be able to connect through an ODBC or JDBC connection and reliably pull data on a regular basis. Big Data sources Hadoop, MongoDB, Cassandra, and other Big Data sources are now becoming common additions to most data-driven companies. Each of these have particular attributes that must be taken into consideration when creating robust JavaScript Visualization based on these sources. For example, the long query times that are a common characteristic of such systems mandate some sort of caching layer to buffer the end users from such long wait times. Further, load control is important as such systems typically can t handle a simultaneous spike in user requests. SaaS and Cloud Application data Saleforce.com, Google Analytics, Omniture, Twitter, Facebook and many other cloud applications are a treasure-trove of corporate data, but can be difficult to access. Pulling data from each of these systems typically requires custom development through proprietary APIs of each system. Doing regular data dumps via a CSV file is another common alternative that requires a batch file management system to handle. Business Intelligence Tool data Tableau Software, Business Objects, SAS, IBM Cognos, Microstrategy and other business intelligence tools typically have key corporate data that is already defined in a way consistent with corporate goals. Getting access to such data, and combining it with other data, is a key factor for success for JavaScript Visualization deployments. There are two ways to get access to such data: connecting directly to the underlying data sources (RDBMS, Big Data, etc.) or connecting directly to the reports in the Business Intelligence tools. For the latter, each Business Intelligence tool typically has an API that can be used to build a custom script to pull data out of reports. Page 6

7 Data Connection Layer Getting the data is just the beginning of the process, but this in itself requires effort. Data often resides in multiple places and it requires the developer to understand how the data is stored, how it is related and then write the appropriate scripts to extract what is important. These scripts must be able to incrementally update data as new information becomes available in the underlying source. Load Management As you roll out more and more data visualizations it is necessary to manage query load so as not to overwhelm source systems. At scale, to effectively manage query load you must manage query processing so that no more than a maximum number of data fetches are run concurrently. The logic to support intelligent query load balancing across multiple data sources can be complex to build and time-consuming to maintain. Error Handling Having a scalable environment that can deal gracefully with situations where source systems become unavailable or when data sources have not been updated as expected. Capturing errors, building in retry logic and being able to reload data automatically creates a scalable solution. An enterprise-scale solution must also detect source data that is stale and inform users that the chart data is out of date. Schedules No enterprise use case sees you extracting data only once for your charts. It is necessary to manage data updates as new information becomes available. Usually, different source data should be sourced based on different schedules. For example, weekly charts may require updates only once the week is complete. Having a robust system to manage multiple data load schedules is necessary. Data Dependencies Most organizations must manage complex dependencies around collecting data for visualizations. There are often multiple processes that load an underlying data warehouse and you must ensure that you pull the data for a visualization only when it is Page 7

8 in a final and consistent state. Managing complex dependencies across multiple data sources and systems can be daunting challenge. Data Caching Layer Getting the relevant data out of source systems and cached in a way that makes it easily accessible and usable by a JavaScript Visualization library is key to any enterprise-scale deployment. This must be managed over multiple data sources and prepared for each visualization to be rendered. Data Formatting Once extracted the data needs to be structured in a format that can successfully drive the visualizations such as JSON objects or simple file structures such as.csv. Data Thinning JavaScript charting inherently runs in the browser, and therefore has a limit to the amount of data it can deal with in one go. When scaling charting to the enterprise, you are often dealing with large data sets where data thinning is required. For instance, you may want to visualize data collected every minute over long time periods. Rather than overloading the browser with millions of data points, a scalable approach requires that the data be thinned so as to reduce data volumes without removing any key data points in the trendline. Lifecycle Management A major difference between building a visualization on a static data set versus a dynamically changing one, is the need to have on-going maintenance of the solution. Ensuring that data loads incrementally every period, and that old data is purged at the appropriate time, is necessary. As underlying data sources are changed, updated or replaced, the design of the data management layer needs to be able to evolve as well. User Management and Security Layer A necessity for enterprise-scale solutions is to have access control lists and users with different viewing and editing privileges. Further, the ideal solution is to be integrated with Page 8

9 the enterprise s existing LDAP, Active Directory, or other access control systems already in place. Alerting & Distribution Layer An automated process to alert users to changes in their dashboards helps increase engagement with their dashboards. Traditional BI dashboards actually have very low engagement rates in an enterprise. The industry-wide engagement rate has been documented as low as 10-15% of total users in an enterprise actually regularly use the BI dashboards (Source: BARC). For your JavaScript Visualizations, you want to ensure that your hard work is not being lost. A great way to increase engagement in your dashboards is to set up an alerting and distribution list infrastructure so you can let your users know when to look at the appropriate dashboards. Collaboration Layer Data visualizations in general focus on answering the What? question. Context as to why something happened is often lost. Overlaying context on a visualization representing a static data set is straightforward, but in an enterprise, where data is changing constantly and where there are a many influencing and impacting factors, it is a complex process. Often context is held by people within the organization, and therefore it is necessary to capture this alongside the presentation layer in a way that allows users to collaborate around the information being presented. Page 9

10 METRIC INSIGHTS SOLUTION Metric Insights offers a turn-key solution that enables you to deploy leading edge JavaScript Visualization libraries at an enterprise scale. As depicted in the following diagram, Metric Insights provides for all the major areas that are missing for ad-hoc JavaScript Visualization deployments. In addition to the above, some of the key features supported include: Robust*JavaScript*API*support.*This*enables*you*to*use*any*JavaScript* Visualization*library.*You*can*also*incorporate*multiple*JavaScript*Visualization* into*your*solution*to*build*on*the*unique*capabilities*of*each*library.** Visualization*Container*Management.**As*you*create*many*different* visualizations,*metric*insights*provides*a*mechanism*to*group*and*manage*them* in*one*framework.**by*delivering*security,*organization,*and*search*together* with*a*favorites*management*system,**you*enable*your*users*to*focus*on*the* visualizations*that*are*most*important*to*them.* Page 10

11 Rich*Source*Data*Connector*Support.*Metric*Insights*connects*to*100s*of* different*data*sources*in*the*enterprise.**alongside*the*library*of*pre+built* connectors*there*are*a*number*of*generic*connectors,*such*as*jdbc*and*web* services,*that*allow*you*to*connect*to*any*open*data*source.***further,*it*typically* takes*only*two*weeks*to*create*a*new*data*connector*to*a*new*or*proprietary* data*source. BI TOOLS DON T SUPPORT THIS Most enterprises already have one or more BI tools deployed in the organization. At first glance, it seems that they could be a natural platform to support JavaScript Visualizations, but this is not the case for several reasons. Page 11

12 First, each BI tool vendors data model is optimized for their own proprietary visualization layer. These tools are typically optimized for in-memory data management for ad hoc analysis and other concerns. These models often change and evolve frequently and would require continual re-working of your visualizations to ensure they are functional. Second, these tools do not provide a well defined JavaScript API required for rapid deployment of JavaScript Visualizations and to provide a level of abstraction between your data layer and the visualizations themselves. Third, these tool vendors typically define themselves by their visualization and reporting capabilities. As organizations, they are reluctant to support 3 rd -party offerings that might be perceived as bypassing the main functionality of their tool. Page 12

13 Have questions? Metric Insights th Street San Francisco CA About Metric Insights Metric Insights (metricinsights.com) bridges the last mile to Business Intelligence and Big Data. Metric Insights lets your users cut through the noise, focus immediately on the critical business issues that warrant their attention, and take action. Our Push Intelligence platform connects quickly and easily to your existing business intelligence tools, big data and SaaS applications. Metric Insights uniquely delivers a patented KPI warehouse, collaboration and notification technologies that tell you when your key business metrics have changed, and, more importantly, why.

PUSH INTELLIGENCE. Bridging the Last Mile to Business Intelligence & Big Data. 2013 Copyright Metric Insights, Inc.

PUSH INTELLIGENCE. Bridging the Last Mile to Business Intelligence & Big Data. 2013 Copyright Metric Insights, Inc. PUSH INTELLIGENCE Bridging the Last Mile to Business Intelligence & Big Data 2013 Copyright Metric Insights, Inc. INTRODUCTION... 3 CHALLENGES WITH BI... 4 The Dashboard Dilemma... 4 Architectural Limitations

More information

Τhe SAS BI delivers business-critical answers ahead of the competition Yannis Salamaras Senior Business Intelligence Consultant SAS Greece & Cyprus

Τhe SAS BI delivers business-critical answers ahead of the competition Yannis Salamaras Senior Business Intelligence Consultant SAS Greece & Cyprus Τhe SAS BI delivers business-critical answers ahead of the competition Yannis Salamaras Senior Business Intelligence Consultant SAS Greece & Cyprus The Value of the Information What s wrong with this picture?

More information

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Apps and data source extensions with APIs Future white label, embed or integrate Power BI Deploy Intelligent

More information

Business Intelligence: Build it or Buy it?

Business Intelligence: Build it or Buy it? Business Intelligence: Build it or Buy it? An ebook for business users brought to you by Executive Overview Managing by the metrics is a business strategy geared to maintaining competitive advantage. But

More information

WHITE PAPER. Domo Advanced Architecture

WHITE PAPER. Domo Advanced Architecture WHITE PAPER Domo Advanced Architecture Overview There are several questions that any architect or technology advisor may ask about a new system during the evaluation process: How will it fit into our organization

More information

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau THE 1 BI SURVEY 13 The Customer Verdict The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for Tableau Tableau

More information

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco Decoding the Big Data Deluge a Virtual Approach Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco High-volume, velocity and variety information assets that demand

More information

Introduction. AppDynamics for Databases Version 2.9.4. Page 1

Introduction. AppDynamics for Databases Version 2.9.4. Page 1 Introduction AppDynamics for Databases Version 2.9.4 Page 1 Introduction to AppDynamics for Databases.................................... 3 Top Five Features of a Database Monitoring Tool.............................

More information

BI SURVEY 14. The world s largest survey of business intelligence software users

BI SURVEY 14. The world s largest survey of business intelligence software users THE BI SURVEY 14 The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for DUNDAS This document is not to be shared,

More information

Client Overview. Engagement Situation. Key Requirements

Client Overview. Engagement Situation. Key Requirements Client Overview Our client is one of the leading providers of business intelligence systems for customers especially in BFSI space that needs intensive data analysis of huge amounts of data for their decision

More information

ElegantJ BI. White Paper. The Enterprise Option Reporting Tools vs. Business Intelligence

ElegantJ BI. White Paper. The Enterprise Option Reporting Tools vs. Business Intelligence ElegantJ BI White Paper The Enterprise Option Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence and Data Management www.elegantjbi.com ELEGANTJ

More information

Apache Hadoop Patterns of Use

Apache Hadoop Patterns of Use Community Driven Apache Hadoop Apache Hadoop Patterns of Use April 2013 2013 Hortonworks Inc. http://www.hortonworks.com Big Data: Apache Hadoop Use Distilled There certainly is no shortage of hype when

More information

The 3 questions to ask yourself about BIG DATA

The 3 questions to ask yourself about BIG DATA The 3 questions to ask yourself about BIG DATA Do you have a big data problem? Companies looking to tackle big data problems are embarking on a journey that is full of hype, buzz, confusion, and misinformation.

More information

IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements

IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements Data Sheet IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements Overview Reporting requirements have changed dramatically in organizations. Organizations today are much more

More information

Using Tableau Software with Hortonworks Data Platform

Using Tableau Software with Hortonworks Data Platform Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data

More information

Implementing Data Models and Reports with Microsoft SQL Server

Implementing Data Models and Reports with Microsoft SQL Server Course 20466C: Implementing Data Models and Reports with Microsoft SQL Server Course Details Course Outline Module 1: Introduction to Business Intelligence and Data Modeling As a SQL Server database professional,

More information

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence Introduction to Oracle Business Intelligence Standard Edition One Mike Donohue Senior Manager, Product Management Oracle Business Intelligence The following is intended to outline our general product direction.

More information

Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short

Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Vijay Anand, Director, Product Marketing Agenda 1. Managed self-service» The need of managed self-service»

More information

Use Data to Advance Institutional Performance

Use Data to Advance Institutional Performance Use Data to Advance Institutional Performance Published: September 2014 For the latest information, please see www.microsoft.com/education Facing Increasing Demands for Accountability... 1 Developing a

More information

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers Modern IT Operations Management Why a New Approach is Required, and How Boundary Delivers TABLE OF CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION: CHANGING NATURE OF IT 3 WHY TRADITIONAL APPROACHES ARE FAILING

More information

Understanding and Evaluating the BI Platform by Cindi Howson

Understanding and Evaluating the BI Platform by Cindi Howson Understanding and Evaluating the BI Platform by Cindi Howson All rights reserved. Reproduction in whole or part prohibited except by written permission. Product and company names mentioned herein may be

More information

The IBM Cognos Platform for Enterprise Business Intelligence

The IBM Cognos Platform for Enterprise Business Intelligence The IBM Cognos Platform for Enterprise Business Intelligence Highlights Optimize performance with in-memory processing and architecture enhancements Maximize the benefits of deploying business analytics

More information

The IBM Cognos Platform

The IBM Cognos Platform The IBM Cognos Platform Deliver complete, consistent, timely information to all your users, with cost-effective scale Highlights Reach all your information reliably and quickly Deliver a complete, consistent

More information

idashboards FOR SOLUTION PROVIDERS

idashboards FOR SOLUTION PROVIDERS idashboards FOR SOLUTION PROVIDERS The idashboards team was very flexible, investing considerable time working with our technical staff to come up with the perfect solution for us. Scott W. Ream, President,

More information

Microsoft Big Data. Solution Brief

Microsoft Big Data. Solution Brief Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,

More information

Deploying Governed Data Discovery to Centralized and Decentralized Teams. Why Tableau and QlikView fall short

Deploying Governed Data Discovery to Centralized and Decentralized Teams. Why Tableau and QlikView fall short Deploying Governed Data Discovery to Centralized and Decentralized Teams Why Tableau and QlikView fall short Agenda 1. Managed self-service» The need of managed self-service» Issues with real-world BI

More information

Composite Data Virtualization Composite Data Virtualization And NOSQL Data Stores

Composite Data Virtualization Composite Data Virtualization And NOSQL Data Stores Composite Data Virtualization Composite Data Virtualization And NOSQL Data Stores Composite Software October 2010 TABLE OF CONTENTS INTRODUCTION... 3 BUSINESS AND IT DRIVERS... 4 NOSQL DATA STORES LANDSCAPE...

More information

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management : Powerful and scalable business intelligence and performance management Highlights Arm every user with the analytics they need to act Support the way that users want to work with their analytics Meet

More information

Sisense. Product Highlights. www.sisense.com

Sisense. Product Highlights. www.sisense.com Sisense Product Highlights Introduction Sisense is a business intelligence solution that simplifies analytics for complex data by offering an end-to-end platform that lets users easily prepare and analyze

More information

BI SURVEY. QlikTech in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for QlikTech

BI SURVEY. QlikTech in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for QlikTech 1 THE BI SURVEY 13 The Customer Verdict The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for QlikTech QlikTech

More information

Why Big Data in the Cloud?

Why Big Data in the Cloud? Have 40 Why Big Data in the Cloud? Colin White, BI Research January 2014 Sponsored by Treasure Data TABLE OF CONTENTS Introduction The Importance of Big Data The Role of Cloud Computing Using Big Data

More information

Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide

Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide Big Data Analytics with IBM Cognos BI Dynamic Query IBM Redbooks Solution Guide IBM Cognos Business Intelligence (BI) helps you make better and smarter business decisions faster. Advanced visualization

More information

Beyond Web Application Log Analysis using Apache TM Hadoop. A Whitepaper by Orzota, Inc.

Beyond Web Application Log Analysis using Apache TM Hadoop. A Whitepaper by Orzota, Inc. Beyond Web Application Log Analysis using Apache TM Hadoop A Whitepaper by Orzota, Inc. 1 Web Applications As more and more software moves to a Software as a Service (SaaS) model, the web application has

More information

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities April, 2013 gaddsoftware.com Table of content 1. Introduction... 3 2. Vendor briefings questions and answers... 3 2.1.

More information

Business Intelligence and Big Data Analytics: Speeding the Cycle from Insights to Action Four Steps to More Profitable Customer Engagement

Business Intelligence and Big Data Analytics: Speeding the Cycle from Insights to Action Four Steps to More Profitable Customer Engagement white paper Business Intelligence and Big Data Analytics: Speeding the Cycle from Insights to Action Four Steps to More Profitable Customer Engagement»» Summary For business intelligence analysts the era

More information

ZAP Business Intelligence Application for Microsoft Dynamics

ZAP Business Intelligence Application for Microsoft Dynamics Buy vs Build ZAP Business Intelligence Application for Microsoft Dynamics One Embarcadero Center, Suite 1560, San Francisco, CA 94111 +1 415 889 5740 www.zapbi.com Table of Contents OVERVIEW 3 BUY OR BUILD?

More information

ENTERPRISE EDITION ORACLE DATA SHEET KEY FEATURES AND BENEFITS ORACLE DATA INTEGRATOR

ENTERPRISE EDITION ORACLE DATA SHEET KEY FEATURES AND BENEFITS ORACLE DATA INTEGRATOR ORACLE DATA INTEGRATOR ENTERPRISE EDITION KEY FEATURES AND BENEFITS ORACLE DATA INTEGRATOR ENTERPRISE EDITION OFFERS LEADING PERFORMANCE, IMPROVED PRODUCTIVITY, FLEXIBILITY AND LOWEST TOTAL COST OF OWNERSHIP

More information

Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5 Days

Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5 Days Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5

More information

THE CLOUD DATA BRIEF. Big Data Transitions to the Cloud

THE CLOUD DATA BRIEF. Big Data Transitions to the Cloud THE CLOUD DATA BRIEF Big Data Transitions to the Cloud Most businesses strive to capture and analyze their data. But how and where does this happen? Solutions were once limited to databases deployed exclusively

More information

White Paper: Big Data and the hype around IoT

White Paper: Big Data and the hype around IoT 1 White Paper: Big Data and the hype around IoT Author: Alton Harewood 21 Aug 2014 (first published on LinkedIn) If I knew today what I will know tomorrow, how would my life change? For some time the idea

More information

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE INTRODUCTION Over the past several years a new category of Business Intelligence

More information

ElegantJ BI. White Paper. Considering the Alternatives Business Intelligence Solutions vs. Spreadsheets

ElegantJ BI. White Paper. Considering the Alternatives Business Intelligence Solutions vs. Spreadsheets ElegantJ BI White Paper Considering the Alternatives Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence and Data Management www.elegantjbi.com

More information

12ashboards BI SURVEY THE. This document is a specially produced summary by BARC of the headline results for Tableau. Tableau in THE BI SURVEY

12ashboards BI SURVEY THE. This document is a specially produced summary by BARC of the headline results for Tableau. Tableau in THE BI SURVEY Tableau in THE BI SURVEY 12 THE 1 BI SURVEY The Customer Verdict The world s largest survey of business intelligence software users This document is not to be shared, distributed or reproduced in any way

More information

IBM Cognos BI Overview IBM Corporation

IBM Cognos BI Overview IBM Corporation IBM Cognos Overview 2012 IBM Corporation Overview of Cognos SW Products Cognos is a suite of products to create, Intelligence and Financial (FPM) Solutions IBM Cognos 10.1 All Intelligence capabilities,

More information

Optimize workloads to achieve success with cloud and big data

Optimize workloads to achieve success with cloud and big data IBM Software Thought Leadership White Paper December 2012 Optimize workloads to achieve success with cloud and big data Intelligent, integrated, cloud-enabled workload automation can improve agility and

More information

CA Technologies Big Data Infrastructure Management Unified Management and Visibility of Big Data

CA Technologies Big Data Infrastructure Management Unified Management and Visibility of Big Data Research Report CA Technologies Big Data Infrastructure Management Executive Summary CA Technologies recently exhibited new technology innovations, marking its entry into the Big Data marketplace with

More information

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the

More information

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers 60 Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative

More information

IBM Cognos 8 BI: The platform of choice for Software as a Service (SaaS)

IBM Cognos 8 BI: The platform of choice for Software as a Service (SaaS) Data Sheet IBM Cognos 8 BI: The platform of choice for Software as a Service (SaaS) Both large-scale enterprises and midsize organizations are turning to software as a service (SaaS) providers to decrease

More information

Enterprise Data Visualization and BI Dashboard

Enterprise Data Visualization and BI Dashboard Strengths Key Features and Benefits Ad-hoc Visualization and Data Discovery Prototyping Mockups Dashboards The application is web based and can be installed on any windows or linux server. There is no

More information

Big Data for the Rest of Us Technical White Paper

Big Data for the Rest of Us Technical White Paper Big Data for the Rest of Us Technical White Paper Treasure Data - Big Data for the Rest of Us 1 Introduction The importance of data warehousing and analytics has increased as companies seek to gain competitive

More information

Data as a Service Virtualization with Enzo Unified

Data as a Service Virtualization with Enzo Unified Data as a Service Virtualization with Enzo Unified White Paper by Blue Syntax Abstract: This white paper explains how companies can benefit from a Data as a Service virtualization layer and build a data

More information

Cognos Performance Troubleshooting

Cognos Performance Troubleshooting Cognos Performance Troubleshooting Presenters James Salmon Marketing Manager James.Salmon@budgetingsolutions.co.uk Andy Ellis Senior BI Consultant Andy.Ellis@budgetingsolutions.co.uk Want to ask a question?

More information

August 2014 San Antonio Texas The Power of Embedded Analytics with SAP BusinessObjects

August 2014 San Antonio Texas The Power of Embedded Analytics with SAP BusinessObjects August 2014 San Antonio Texas The Power of Embedded Analytics with SAP BusinessObjects Speaker: Kevin McManus Founder, LaunchWorks Learning Points Eliminate effort and delay of moving data to the cloud

More information

ProClarity Analytics Family

ProClarity Analytics Family ProClarity Analytics Platform 6 Product Data Sheet Accelerated understanding The ProClarity Analytics family enables organizations to centrally manage, store and deploy best practices and key performance

More information

Data Integration Checklist

Data Integration Checklist The need for data integration tools exists in every company, small to large. Whether it is extracting data that exists in spreadsheets, packaged applications, databases, sensor networks or social media

More information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically

More information

Analytics March 2015 White paper. Why NoSQL? Your database options in the new non-relational world

Analytics March 2015 White paper. Why NoSQL? Your database options in the new non-relational world Analytics March 2015 White paper Why NoSQL? Your database options in the new non-relational world 2 Why NoSQL? Contents 2 New types of apps are generating new types of data 2 A brief history of NoSQL 3

More information

124 Cromwell Road, London, SW7 4ET www.softelegance.co.uk

124 Cromwell Road, London, SW7 4ET www.softelegance.co.uk SOFTWARE Frameworks For Business Applications And Product Development SoftElegance USA: 4771 Sweetwater Blvd., Sugar Land, Houston, TX 77479 www.softeleganceusa.com SoftElegance U.K.: 124 Cromwell Road,

More information

Data Analytics Infrastructure

Data Analytics Infrastructure Data Analytics Infrastructure Data Science SG Nov 2015 Meetup Le Nguyen The Dat @lenguyenthedat Backgrounds ZALORA Group (2013 2014) o Biggest online fashion retails in South East Asia o Data Infrastructure

More information

Why 70% of Dashboard Initiatives Fail

Why 70% of Dashboard Initiatives Fail A Theoris Software White Paper 8888 Keystone Crossing Indianapolis, IN 46240 866-843-6747 www.theoris.com Why 70% of Dashboard Initiatives Fail By Greg Aldridge, Director July 2008 Introduction Dashboards

More information

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework With relevant, up to date cash flow and operations optimization reporting at your fingertips, you re positioned to take advantage

More information

ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem

ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem INTRODUCTION As IT infrastructure has grown more complex, IT administrators and operators have struggled to retain control. Gone

More information

Three Reasons Why Visual Data Discovery Falls Short

Three Reasons Why Visual Data Discovery Falls Short Three Reasons Why Visual Data Discovery Falls Short Vijay Anand, Director, Product Marketing Agenda Introduction to Self-Service Analytics and Concepts MicroStrategy Self-Service Analytics Product Offerings

More information

An Oracle White Paper June 2009. Integration Technologies for Primavera Solutions

An Oracle White Paper June 2009. Integration Technologies for Primavera Solutions An Oracle White Paper June 2009 Integration Technologies for Primavera Solutions Introduction... 1 The Integration Challenge... 2 Integration Methods for Primavera Solutions... 2 Integration Application

More information

BI SURVEY. The world s largest survey of business intelligence software users

BI SURVEY. The world s largest survey of business intelligence software users THE 1 BI SURVEY 13 The Customer Verdict The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for Dimensional

More information

Power Tools for Pivotal Tracker

Power Tools for Pivotal Tracker Power Tools for Pivotal Tracker Pivotal Labs Dezmon Fernandez Victoria Kay Eric Dattore June 16th, 2015 Power Tools for Pivotal Tracker 1 Client Description Pivotal Labs is an agile software development

More information

Extending Hyperion BI with the Oracle BI Server

<Insert Picture Here> Extending Hyperion BI with the Oracle BI Server Extending Hyperion BI with the Oracle BI Server Mark Ostroff Sr. BI Solutions Consultant Agenda Hyperion BI versus Hyperion BI with OBI Server Benefits of using Hyperion BI with the

More information

MicroStrategy Course Catalog

MicroStrategy Course Catalog MicroStrategy Course Catalog 1 microstrategy.com/education 3 MicroStrategy course matrix 4 MicroStrategy 9 8 MicroStrategy 10 table of contents MicroStrategy course matrix MICROSTRATEGY 9 MICROSTRATEGY

More information

Harnessing the Power of the Microsoft Cloud for Deep Data Analytics

Harnessing the Power of the Microsoft Cloud for Deep Data Analytics 1 Harnessing the Power of the Microsoft Cloud for Deep Data Analytics Today's Focus How you can operate your business more efficiently and effectively by tapping into Cloud based data analytics solutions

More information

Powerful analytics. and enterprise security. in a single platform. microstrategy.com 1

Powerful analytics. and enterprise security. in a single platform. microstrategy.com 1 Powerful analytics and enterprise security in a single platform microstrategy.com 1 Make faster, better business decisions with easy, powerful, and secure tools to explore data and share insights. Enterprise-grade

More information

343 Industries Gets New User Insights from Big Data in the Cloud

343 Industries Gets New User Insights from Big Data in the Cloud 343 Industries Gets New User Insights from Big Data in the Cloud Published: May 2013 The following content may no longer reflect Microsoft s current position or infrastructure. This content should be viewed

More information

Tableau Tutorial. User Documentation. Archit Sood, Neha Sinha, Shashank Dewjee, and Wei Zhao

Tableau Tutorial. User Documentation. Archit Sood, Neha Sinha, Shashank Dewjee, and Wei Zhao Tableau Tutorial User Documentation Archit Sood, Neha Sinha, Shashank Dewjee, and Wei Zhao Table of Contents Introduction... 2 Tableau desktop (Business analytics anyone can use)... 2 Tableau server...

More information

MIPRO s Business Intelligence Manifesto: Six Requirements for an Effective BI Deployment

MIPRO s Business Intelligence Manifesto: Six Requirements for an Effective BI Deployment MIPRO s Business Intelligence Manifesto: Six Requirements for an Effective BI Deployment Contents Executive Summary Requirement #1: Execute Dashboards Effectively Requirement #2: Understand the BI Maturity

More information

Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth

Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth MAKING BIG DATA COME ALIVE Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth Steve Gonzales, Principal Manager steve.gonzales@thinkbiganalytics.com

More information

Six Signs. you are ready for BI WHITE PAPER

Six Signs. you are ready for BI WHITE PAPER Six Signs you are ready for BI WHITE PAPER LET S TAKE A LOOK AT THE WAY YOU MIGHT BE MONITORING AND MEASURING YOUR COMPANY About the auther You re managing information from a number of different data sources.

More information

SQL Server 2012 Business Intelligence Boot Camp

SQL Server 2012 Business Intelligence Boot Camp SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations

More information

DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER?

DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER? DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER? [1] Sachin Kashyap Research Scholar Singhania University Rajasthan (India) [2] Dr. Pardeep Goel, Asso. Professor Dean

More information

TURN YOUR DATA INTO KNOWLEDGE

TURN YOUR DATA INTO KNOWLEDGE TURN YOUR DATA INTO KNOWLEDGE 100% open source Business Intelligence and Big Data Analytics www.spagobi.org @spagobi Copyright 2016 Engineering Group, SpagoBI Labs. All rights reserved. Why choose SpagoBI

More information

The Principles of the Business Data Lake

The Principles of the Business Data Lake The Principles of the Business Data Lake The Business Data Lake Culture eats Strategy for Breakfast, so said Peter Drucker, elegantly making the point that the hardest thing to change in any organization

More information

III Big Data Technologies

III Big Data Technologies III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution

More information

Logentries Insights: The State of Log Management & Analytics for AWS

Logentries Insights: The State of Log Management & Analytics for AWS Logentries Insights: The State of Log Management & Analytics for AWS Trevor Parsons Ph.D Co-founder & Chief Scientist Logentries 1 1. Introduction The Log Management industry was traditionally driven by

More information

WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW

WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW A QlikView White Paper November 2012 qlikview.com Table of Contents Unlocking The Value Within Your Data Warehouse 3 Champions to the Business Again: Controlled

More information

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data?

What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? December, 2014 What s Happening to the Mainframe? Mobile? Social? Cloud? Big Data? Glenn Anderson IBM Lab Services and Training Today s mainframe is a hybrid system z/os Linux on Sys z DB2 Analytics Accelerator

More information

ElegantJ BI. White Paper. Achieve a Complete Business Picture with a Business Intelligence (BI) Dashboard

ElegantJ BI. White Paper. Achieve a Complete Business Picture with a Business Intelligence (BI) Dashboard ElegantJ BI White Paper Achieve a Complete Business Picture with a Business Intelligence (BI) Dashboard Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence

More information

ACEYUS REPORTING. Aceyus Intelligence Executive Summary

ACEYUS REPORTING. Aceyus Intelligence Executive Summary ACEYUS REPORTING Aceyus Intelligence Executive Summary Aceyus, Inc. June 2015 1 ACEYUS REPORTING ACEYUS INTELLIGENCE EXECUTIVE SUMMARY Aceyus Intelligence is a suite of products for optimizing contact

More information

Tableau Visual Intelligence Platform Rapid Fire Analytics for Everyone Everywhere

Tableau Visual Intelligence Platform Rapid Fire Analytics for Everyone Everywhere Tableau Visual Intelligence Platform Rapid Fire Analytics for Everyone Everywhere Agenda 1. Introductions & Objectives 2. Tableau Overview 3. Tableau Products 4. Tableau Architecture 5. Why Tableau? 6.

More information

Need for Business Intelligence

Need for Business Intelligence Wisdom InfoTech Need for Business Intelligence INFORMATION AT YOUR FINGER TIPS May 2007 ABRAHAM PABBATHI Principal Consultant BI Practice Wisdom InfoTech 18650 W. Corporate Drive Suite 120 Brookfield WI

More information

Sterling Business Intelligence

Sterling Business Intelligence Sterling Business Intelligence Concepts Guide Release 9.0 March 2010 Copyright 2009 Sterling Commerce, Inc. All rights reserved. Additional copyright information is located on the documentation library:

More information

ABSS Solutions, Inc. Upper Marlboro, MD 20772

ABSS Solutions, Inc. Upper Marlboro, MD 20772 ABSS Solutions, Inc. Upper Marlboro, MD 20772 1. 1 Using Business Information LogiXML Implementation Process LogiXML Licensing Structure LogiXML Implementations LogiXML Corporate Overview ASI Implementation

More information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful

More information

An Oracle White Paper June, 2013. Enterprise Manager 12c Cloud Control Application Performance Management

An Oracle White Paper June, 2013. Enterprise Manager 12c Cloud Control Application Performance Management An Oracle White Paper June, 2013 Enterprise Manager 12c Cloud Control Executive Overview... 2 Introduction... 2 Business Application Performance Monitoring... 3 Business Application... 4 User Experience

More information

A Shift in the World of Business Intelligence

A Shift in the World of Business Intelligence Search Powered Business Analytics, the smartest way to discover your data A Shift in the World of Business Intelligence Comparison of CXAIR to Traditional BI Technologies A CXAIR White Paper www.connexica.com

More information

Big Data on the Open Cloud

Big Data on the Open Cloud Big Data on the Open Cloud Rackspace Private Cloud, Powered by OpenStack, Helps Reduce Costs and Improve Operational Efficiency Written by Niki Acosta, Cloud Evangelist, Rackspace Big Data on the Open

More information

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e. www.analytixds.com Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing 1 P a g e Table of Contents What is the key to agility in Data Warehousing?... 3 The need to address requirements completely....

More information

IBM BigInsights Has Potential If It Lives Up To Its Promise. InfoSphere BigInsights A Closer Look

IBM BigInsights Has Potential If It Lives Up To Its Promise. InfoSphere BigInsights A Closer Look IBM BigInsights Has Potential If It Lives Up To Its Promise By Prakash Sukumar, Principal Consultant at iolap, Inc. IBM released Hadoop-based InfoSphere BigInsights in May 2013. There are already Hadoop-based

More information

Category: Business Process and Integration Solution for Small Business and the Enterprise

Category: Business Process and Integration Solution for Small Business and the Enterprise Home About us Contact us Careers Online Resources Site Map Products Demo Center Support Customers Resources News Download Article in PDF Version Download Diagrams in PDF Version Microsoft Partner Conference

More information

Agilysys rguest Analyze Solution

Agilysys rguest Analyze Solution Agilysys rguest Analyze Solution Improve Performance and Customer Service TABLE OF CONTENTS Introduction...3 What Will Be The Role 0f Analytics for Hospitality Businesses?...4 What s Involved in an Analytics

More information

DataDirect Cloud Overview. Laurent KIEFFER Solution Consultant January 2014

DataDirect Cloud Overview. Laurent KIEFFER Solution Consultant January 2014 DataDirect Cloud Overview Laurent KIEFFER Solution Consultant January 2014 DataDirect Cloud Overview Progress Pacific 1 Demonstration 6 2 Data Direct Portfolio Use Cases 5 3 Data Connectivity Issues 4

More information