Embedding Analytics for Competitive Advantage
|
|
- Tracy Gibbs
- 7 years ago
- Views:
Transcription
1 Embedding Analytics for Competitive Advantage Three Market Driven Approaches for Software Development Companies A White Paper by Visual Numerics, Inc. July 2008 Visual Numerics, Inc Wilcrest Drive, Suite 200 Houston, TX USA
2 Embedding Analytics for Competitive Advantage Three Market Driven Approaches for Software Development Companies by Visual Numerics, Inc by Visual Numerics, Inc. All Rights Reserved Printed in the United States of America Publishing History: July 2008 Trademark Information Visual Numerics, IMSL and PV-WAVE are registered trademarks. JMSL, TS-WAVE, and JWAVE are trademarks of Visual Numerics, Inc., in the U.S. and other countries. All other product and company names are trademarks or registered trademarks of their respective owners. The information contained in this document is subject to change without notice. Visual Numerics, Inc. makes no warranty of any kind with regard to this material, included, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Visual Numerics, Inc, shall not be liable for errors contained herein or for incidental, consequential, or other indirect damages in connection with the furnishing, performance, or use of this material.
3 TABLE OF CONTENTS Embedding Analytics for Competitive Advantage... 4 Analytical Building Blocks... 4 Alternatives for Embedding Analytics... 5 In House Analytics... 5 Open Source Analytics... 6 Commercial Options... 6 IMSL Numerical Library Introduction... 7 Case Studies... 8 Solving Specific Numerical Challenges... 9 Putting Analytics in the Hands of Users... 9 Creating a Custom Solution Other Approaches Summary... 10
4 Embedding Analytics for Competitive Advantage As customer demand for advanced analytics grows, enterprise software vendors are finding ways to add new business intelligence (BI) capabilities to their current offerings to stay competitive. With embedded analytics, vendors can empower their users to do more with their applications, enhancing the stickiness of their software. For example, ncode International 1, a developer of data analysis software, data acquisition systems and durability solutions, recently added Visual Numerics statistical tools to their ICE flow Glyphworks software. These additional tools enable customers to analyze and understand durability testing and product usage data from within ncode s solutions, as opposed to moving the data to a separate application for analysis. For businesses, having more analytics embedded in the software solutions that their employees use on a daily basis delivers significant value. Employees get the decision making tools they need to make good business decisions, when they need them. Organizations that have employees making better decisions faster gain a significant competitive advantage over organizations without similar abilities. This white paper is intended for software vendors that want to make analytics an embedded part of their products. It will discuss analytical building blocks, alternatives for building solutions, and through case study examples, it will outline three approaches taken by vendors to embed analytics into their software applications. Analytical Building Blocks In a cover story discussing analytics in business, Math will Rock Your World 2 (Business Week, January 2006), the author writes about imposing the efficiencies of math on finance, science, engineering and business problems. This article and others that followed outlined the many ways organizations and industries could leverage numerical analysis to solve problems and make decisions analytically. As discussed in the Business Week article, the building blocks for analytical applications are mathematical and statistical techniques. Math functions such as interpolation and optimization, and statistics functions such as correlation, regression or random number generation help organizations understand data, simulate situations by asking what if questions, and make fact based decisions. A key decision for software vendors that want to make analytics part of their application is how to embed the mathematics and statistics that enables analytics. Three alternatives are discussed in the next section Page 4
5 Alternatives for Embedding Analytics Software vendors have many alternatives for adding analytic functionality to their applications. Three commonly considered alternatives are: Build math and/or statistical functions for their application using in house development resources Use free open source options Leverage a commercial option The following sections will explore some advantages and disadvantages of each. In House Analytics Many software vendors first consider developing analytics functionality in house. Because of the nature of their business, software vendors employ intelligent programmers who can write the code for math and statistical algorithms. Publications such as the Numerical Recipes 3 reference books contain complete commented source code in several languages for hundreds of algorithms. Leveraging Numerical Recipes or a similar source of algorithms can be as easy as copying the source into an application and compiling the code. Once complete, the in house developed algorithm is owned by the software vendor and is an embedded part of the application. For novel or cutting edge algorithms, the development process is considerably more in depth than simply consulting existing references of source code. Working from a journal article outlining the mathematics involved in an analytical solution can be a considerable challenge for even seasoned software developers if the goal is to create commercially viable and usable general source code. In addition, such development is typically serial in nature meaning that adding more resources will not shorten the development cycle. If time to market is a consideration, then the time required to develop in house solutions may be a costly drawback. While in house development may seem easy, there are both direct and ongoing costs to consider. There is the initial, direct cost of the development time to write, test and document the algorithm. For simple algorithms, this might be a quick process. For complex algorithms or custom solutions, development can take much longer months or even years in some cases. In addition, there are ongoing costs of maintaining algorithms, including upgrading code for new hardware or software platforms, potentially migrating code to new environments, and making updates as necessary. Maintenance costs can easily run twice the cost and time of initial development. Aside from development costs, an important consideration when weighing whether to develop analytical algorithms in house is how to best deploy resources. Asking the question should our internal development staff be used to write math or statistical functions or should they work on 3 Page 5
6 our core application can help a software development company decide if it is better to create in house analytics or leverage open source or a commercially available option. Open Source Analytics To avoid the cost of writing and supporting algorithms developed in house, software vendors might look to one of the thousands of open source options, such as the GNU Scientific Library 4. The commonly cited attraction of open source is, of course, that it is free and supported by the general development community. For software vendors looking to add analytics to their applications, open source has potential drawbacks. Since many open source options come with third party obligations or viral type license agreements, some customers will simply not accept software that contains open source code to avoid dealing with multiple companies and organizations for support. Additionally, utilizing open source codes in a commercial application may require the entire application s source to be made available, which is not an option for many software vendors. For developers, not all open source projects are easy to use. Many are sparsely documented, occasionally in foreign languages, and contain few, if any, examples. Other projects are available only in source code form, which means the onus is on the user to compile necessary binaries. When an open source project designed for Linux is required on Windows, this compiling step can be a daunting task. Projects rarely have resources available to address technical support questions. Users are left to busy developers or visit unresponsive forums. Finally, open source projects often stagnate after initial activity. Once the original developers get it working for their specific problem, there is no impetus for continuing development. While there are many examples of successful open source projects, software vendors should consider the risks before pursuing open source options for their applications. Commercial Options In computer science, a library is a collection of subprograms used to develop software. Libraries contain "helper" code and data that provide services to independent programs. Visual Numerics is one of several vendors that offer a commercial library option for embedding analytics. Visual Numerics IMSL Numerical Libraries 5 provide numerical computation code in the form of math and statistical algorithms. The intent of a commercial option like the IMSL Libraries is to empower software developers to add analytical capabilities to their application, but avoid re inventing the wheel through writing complex math or statistical routines, or introducing risk by using untested open source software in their application Page 6
7 A commercial option also offers extensive numerical algorithm development expertise. Visual Numerics focuses on the development, sales and maintenance of analytical algorithms, supporting a wide range of languages and platforms, and has years of experience working with thousands of customers. A commercial option like the IMSL Libraries therefore provides a wide breadth of available algorithms, significant depth of capabilities, and extensive testing by the vendor and a large and diverse user community. Table 1 summarizes the key advantages and disadvantages of these alternatives for embedding analytics into a software application. Table 1. Embedded Analytic Alternatives Summary In house analytics Open source analytics Commercial options Key Advantages Source code examples are often available Analytic functionality developed is owned by the software vendor Many algorithms are freely available Depth and breadth of available algorithms Reduce development time through the use of pre built algorithms Reduce risk through commercially tested and widely used algorithms Key Disadvantages Time to code, test, document and maintain algorithms Opportunity cost of developers writing algorithms instead of core software application Third party obligations and viral type license agreements are common Documentation, testing and support are often minimal Cost to license IMSL Numerical Library Introduction The IMSL Libraries are a collection of mathematical and statistical algorithms that developers can integrate into their applications. IMSL Libraries cover a wide range of functions ranging from linear algebra and curve fitting to numerical optimization in the math domain and time series analysis and data mining functions in the statistical domain. IMSL Numerical Libraries are implemented in the widely used computer programming languages of C, Java, C#/.NET, and Fortran. Software developers embed algorithms from these Page 7
8 libraries into their software applications using their preferred programming language. The first IMSL Library for the Fortran language was released in 1971, followed by a C language version originally called C/Base in 1991, a Java language version in 2002 and most recently a C# language version in Over time, the libraries have grown in supported languages, supported platforms, and in depth and breadth of available math and statistics algorithms. Table 2 outlines general math and statistics areas found in the IMSL Numerical Libraries. These areas illustrate a broad and full featured spectrum of critical analytic capabilities that can be used to build advanced numerical software applications in many fields. Table 2. IMSL Numerical Library Math & Statistics Areas Mathematics Matrix Operations Linear Algebra Eigensystems Interpolation & Approximation Quadrature Differential Equations Nonlinear Equations Optimization Special Functions Finance & Bond Calculations Statistics Basic Statistics Time Series & Forecasting Nonparametric Tests Correlation & Covariance Data Mining Regression Analysis of Variance Transforms Goodness of Fit Distribution Functions Random Number Generation Neural Networks The items listed in the table represent entire areas of functionality with numerous algorithms within each area. Within the IMSL Libraries, the actual count of available math and statistical algorithms runs into the thousands, giving developers many options to mix and match algorithms as needed to create unique and competitively engineered analytical applications. How to use numerical algorithms in a software application depends on the type of application, the needs of the users of the application, and the desires of the application vendor. Some software vendors might add a few algorithms that provide specific functionality; others might want to offer a broad selection of numerical analysis functions; while others might need highly customized functionality. The next section outlines three recent approaches by software vendors to embed analytics into their software applications. Case Studies The following sections highlight examples of customers that have embedded IMSL Library functions into their software applications. Page 8
9 Solving Specific Numerical Challenges Many companies need analytics to enable their software application to solve a particular type of problem. An example is Moore Nanotechnology Systems 6, a leading manufacturer of ultraprecision machining systems. Customers in defense, aerospace, consumer electronics, and ophthalmic industries use Moore Nanotech s ultra precision machining equipment to create 3D freeform surfaces such as optical lenses, mirrors and inserts. With their machining equipment, Moore provides NanoCAM, a full 3D CAM software that enables customers to define the precise surface to be machined using their ultra precision tools. IMSL Library functions are embedded into the NanoCAM application. Math algorithms, including spline definition and interpolation functions, enable the accurate definition of 3D freeform surfaces. Accurate definition is critical for ensuring quality output from the manufacturing process typically in nanometer range. The IMSL Library functions embedded into NanoCAM also provide the fast computation capability required by the application. Manufacturers who need to be completely precise with the surfaces commonly interpolate point data sets ranging from 300,000 to 1,000,000 points. The ability of IMSL Library functions to process these large datasets in a fraction of a second speeds up the design and analysis process. For Moore Nanotech developers, in depth analysis functions from the IMSL Libraries were easily embedded in the application, saving months of development time versus trying to write the functions from scratch. Putting Analytics in the Hands of Users For many software applications, vendors can deliver value by providing a complete set of analysis tools for customers. Customers can then use these tools in unique ways on their own data and make business decisions to create competitive advantages. An example is Teradata 7, a provider of enterprise data warehousing and business intelligence solutions. To provide users with a wide range of embedded statistical functions for in database analysis, Teradata embedded multiple IMSL Library probability distribution functions and inverses and random number generators into a new product, the Teradata Statistical Library Add in, Powered by IMSL, part of Teradata Warehouse Miner. These statistical functions are provided as embedded user defined functions (UDFs) accessible through Teradata Warehouse Miner or standard SQL Queries. Teradata Warehouse Miner s UDF capabilities work like an index from which users can select prepackaged functions which are linked to the detailed data. From a desktop environment, business users can click, drag and drop the needed analytic function from a list of UDFs and run it against the appropriate detailed data in the warehouse without wasting time by manually coding the function or moving data between systems. Combined with other analytic functions in Teradata Warehouse Page 9
10 Miner, the Statistical Library functions, Powered by IMSL can be used in a variety of applications, including classification, forecasting and others. Creating a Custom Solution Some software applications can benefit from customized analytics. An example is Teksouth 8, a privately held firm headquartered in Birmingham, Alabama. The company has served both the commercial markets and Federal government for more than a generation. Teksouth products and services include data warehouse development, implementation, and support; web based decision support tools; secure high speed data transport tools, as well as system engineering, integration, and program management. To enable private sector and government organizations to more accurately project and budget spending changes, and help companies address accountability and regulatory compliance issues, Teksouth, working with Visual Numerics Consulting Services, developed an innovative, customized neural network forecasting application for its customers based on neural network forecasting functionality in the IMSL Library. The application extracts information from historical cost data, applying the information to forecast future costs. The analytic engine has the flexibility to prioritize historical data and exclude anomalous data to improve its predictive capabilities. One of the most powerful features of this solution is its ability to mimic the brain's own problem solving process by applying knowledge gained from historical data to new problems, fine tuning its forecasting accuracy even more over time. Many organizations evolve their predictive analytic capabilities over time. Visual Numerics Consulting Services can help organizations like Teksouth get to the next stage of analytical maturity by identifying and then helping to implement methods to bring more sophisticated analysis into the organization. Other Approaches The previous section highlighted three examples of how software vendors can embed advanced analytics into their applications. With more than 3000 functions across four native development languages on dozens of hardware platforms and operating systems, the ways that advanced analytics with the IMSL Numerical Libraries can be embedded into software are virtually limitless. Summary Software vendors can help their customers solve problems and make decisions analytically by embedding analytic functionality into their applications. While there are alternatives to embedding commercially developed and supported analytical functions: building in house or 8 Page 10
11 leveraging open source; commercial libraries deliver the optimum approach for many vendors because of their: Breadth and depth of numerical algorithms Broad platform and language support Proven reliability Technical and consulting support Analytics can be embedded in many ways. Depending on the software vendor, application and customer needs, the best approach will vary. Regardless of approach, the end goal remains the same to give customers the ability to create competitive advantage by making decisions analytically. Visual Numerics is an established provider of commercial libraries. Math and statistical functions in the IMSL Libraries provide analytic capabilities to many software vendors today and offer unique value, including: Fast time to market Software companies like ncode International and Moore Nanotechnology brought products to market significantly faster using pre built IMSL Libraries as opposed to developing functionality in house. Execution & Efficiency Analyzing data at the source is often more efficient than moving it outside the database. Teradata provides IMSL Library statistical functions to users as embedded user defined functions (UDFs) accessible through Teradata Warehouse Miner or standard SQL Queries. IMSL Libraries, available in C, Fortran,.NET and Java make it easy to embed analytics in the same native language in which an application is written. Customization Working with Visual Numerics Consulting Services, Teksouth was able to customize advanced neural network technology to develop a unique budget forecasting application. The ability to customize algorithms or simply mix and match algorithms from the thousands available, IMSL Libraries enable developers to create unique and competitively engineered analytical applications. Finally, IMSL Libraries ensure numerical consistency across different languages and platforms. Developers do not have to hard code libraries to fit each application environment. This advantage is particularly helpful when software companies need to upgrade or migrate their applications to new hardware or software platforms. To learn more: Visual Numerics IMSL Numerical Libraries 9 product information Visual Numerics OEM/ISV partner 10 information Page 11
Numerical Algorithms Group. Embedded Analytics. A cure for the common code. www.nag.com. Results Matter. Trust NAG.
Embedded Analytics A cure for the common code www.nag.com Results Matter. Trust NAG. Executive Summary How much information is there in your data? How much is hidden from you, because you don t have access
More informationAnalytic Modeling in Python
Analytic Modeling in Python Why Choose Python for Analytic Modeling A White Paper by Visual Numerics August 2009 www.vni.com Analytic Modeling in Python Why Choose Python for Analytic Modeling by Visual
More informationData Mining mit der JMSL Numerical Library for Java Applications
Data Mining mit der JMSL Numerical Library for Java Applications Stefan Sineux 8. Java Forum Stuttgart 07.07.2005 Agenda Visual Numerics JMSL TM Numerical Library Neuronale Netze (Hintergrund) Demos Neuronale
More informationNumerical Analysis in the Financial Industry
Numerical Analysis in the Financial Industry An overview of numerical analysis requirements and challenges unique to the financial services industry A White Paper by Rogue Wave Software. April 2011 Rogue
More informationPower of Oracle in the Cloud
Power of Oracle in the Cloud www.reliason.com Whitepaper W Overview The Oracle technology is known for its power, productivity and robustness. Likewise, Oracle cloud service is also backed by these features
More informationSTATISTICA Solutions for Financial Risk Management Management and Validated Compliance Solutions for the Banking Industry (Basel II)
STATISTICA Solutions for Financial Risk Management Management and Validated Compliance Solutions for the Banking Industry (Basel II) With the New Basel Capital Accord of 2001 (BASEL II) the banking industry
More informationAdvanced analytics at your hands
2.3 Advanced analytics at your hands Neural Designer is the most powerful predictive analytics software. It uses innovative neural networks techniques to provide data scientists with results in a way previously
More informationPredictive Analytics
Predictive Analytics How many of you used predictive today? 2015 SAP SE. All rights reserved. 2 2015 SAP SE. All rights reserved. 3 How can you apply predictive to your business? Predictive Analytics is
More informationDRIVING COMPETITIVE ADVANTAGE BY PREDICTING THE FUTURE
DRIVING COMPETITIVE ADVANTAGE BY PREDICTING THE FUTURE Extending business systems with embedded predictive analytics Competitive advantage is derived by an organization when it develops strategies, techniques,
More informationMSCA 31000 Introduction to Statistical Concepts
MSCA 31000 Introduction to Statistical Concepts This course provides general exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced
More informationINTRODUCTION TO DATA MINING SAS ENTERPRISE MINER
INTRODUCTION TO DATA MINING SAS ENTERPRISE MINER Mary-Elizabeth ( M-E ) Eddlestone Principal Systems Engineer, Analytics SAS Customer Loyalty, SAS Institute, Inc. AGENDA Overview/Introduction to Data Mining
More informationInnovate and Grow: SAP and Teradata
Partners Innovate and Grow: SAP and Teradata Lily Gulik, Teradata Director, SAP Center of Excellence Wayne Boyle, Chief Technology Officer Strategy, Teradata R&D Table of Contents Introduction: The Integrated
More informationETPL Extract, Transform, Predict and Load
ETPL Extract, Transform, Predict and Load An Oracle White Paper March 2006 ETPL Extract, Transform, Predict and Load. Executive summary... 2 Why Extract, transform, predict and load?... 4 Basic requirements
More informationEvaluation Guide. Sales Quota Allocation Performance Blueprint
Evaluation Guide Sales Quota Allocation Performance Blueprint Introduction Pharmaceutical companies are widely recognized for having outstanding sales forces. Many pharmaceuticals have hundreds of sales
More informationPredictive analytics for the business analyst: your first steps with SAP InfiniteInsight
Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605 Summary Who said you need a PhD to do sophisticated predictive analysis?
More informationANALYTICS CENTER LEARNING PROGRAM
Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals
More informationHarnessing the power of advanced analytics with IBM Netezza
IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced
More informationWorldwide Advanced and Predictive Analytics Software Market Shares, 2014: The Rise of the Long Tail
MARKET SHARE Worldwide Advanced and Predictive Analytics Software Market Shares, 2014: The Rise of the Long Tail Alys Woodward Dan Vesset IDC MARKET SHARE FIGURE FIGURE 1 Worldwide Advanced and Predictive
More informationEmpowering the Masses with Analytics
Empowering the Masses with Analytics THE GAP FOR BUSINESS USERS For a discussion of bridging the gap from the perspective of a business user, read Three Ways to Use Data Science. Ask the average business
More informationStorage Capacity Management for Oracle Databases Technical Brief
Storage Capacity Management for Oracle Databases Technical Brief Written by Name Title Quest Software, Inc. Technical Brief Copyright Quest Software, Inc. 2008. All rights reserved. This guide contains
More informationActian SQL in Hadoop Buyer s Guide
Actian SQL in Hadoop Buyer s Guide Contents Introduction: Big Data and Hadoop... 3 SQL on Hadoop Benefits... 4 Approaches to SQL on Hadoop... 4 The Top 10 SQL in Hadoop Capabilities... 5 SQL in Hadoop
More informationMaster of Mathematical Finance: Course Descriptions
Master of Mathematical Finance: Course Descriptions CS 522 Data Mining Computer Science This course provides continued exploration of data mining algorithms. More sophisticated algorithms such as support
More informationVisionet IT Modernization Empowering Change
Visionet IT Modernization A Visionet Systems White Paper September 2009 Visionet Systems Inc. 3 Cedar Brook Dr. Cranbury, NJ 08512 Tel: 609 360-0501 Table of Contents 1 Executive Summary... 4 2 Introduction...
More informationThe power of IBM SPSS Statistics and R together
IBM Software Business Analytics SPSS Statistics The power of IBM SPSS Statistics and R together 2 Business Analytics Contents 2 Executive summary 2 Why integrate SPSS Statistics and R? 4 Integrating R
More informationMachine Learning with MATLAB David Willingham Application Engineer
Machine Learning with MATLAB David Willingham Application Engineer 2014 The MathWorks, Inc. 1 Goals Overview of machine learning Machine learning models & techniques available in MATLAB Streamlining the
More informationBetter decision making under uncertain conditions using Monte Carlo Simulation
IBM Software Business Analytics IBM SPSS Statistics Better decision making under uncertain conditions using Monte Carlo Simulation Monte Carlo simulation and risk analysis techniques in IBM SPSS Statistics
More informationIDL. Get the answers you need from your data. IDL
Get the answers you need from your data. IDL is the preferred computing environment for understanding complex data through interactive visualization and analysis. IDL Powerful visualization. Interactive
More informationMaximierung des Geschäftserfolgs durch SAP Predictive Analytics. Andreas Forster, May 2014
Maximierung des Geschäftserfolgs durch SAP Predictive Analytics Andreas Forster, May 2014 Legal Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed
More informationORACLE UTILITIES ANALYTICS
ORACLE UTILITIES ANALYTICS TRANSFORMING COMPLEX DATA INTO BUSINESS VALUE UTILITIES FOCUS ON ANALYTICS Aging infrastructure. Escalating customer expectations. Demand growth. The challenges are many. And
More informationHigh-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances
High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve
More informationInforCloudSuite. Business. Overview INFOR CLOUDSUITE BUSINESS 1
InforCloudSuite Business Overview INFOR CLOUDSUITE BUSINESS 1 What if... You could implement a highly flexible ERP solution that was built to manage all of your business needs, from financials and human
More informationSymantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Landscape
WHITE PAPER: SYMANTEC GLOBAL INTELLIGENCE NETWORK 2.0.... ARCHITECTURE.................................... Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Who
More informationRESEARCH NOTE THE VALUE OF SUBSCRIPTION AND SUPPORT FOR IBM BUSINESS ANALYTICS THE BOTTOM LINE THE CHALLENGE. January 2013.
RESEARCH NOTE THE VALUE OF SUBSCRIPTION AND SUPPORT FOR IBM BUSINESS ANALYTICS THE BOTTOM LINE Software subscription and support agreements are not just sunk costs, but opportunities to obtain additional
More informationMSCA 31000 Introduction to Statistical Concepts
MSCA 31000 Introduction to Statistical Concepts This course provides general exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced
More informationBusiness 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 informationWHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics
WHITE PAPER Harnessing the Power of Advanced How an appliance approach simplifies the use of advanced analytics Introduction The Netezza TwinFin i-class advanced analytics appliance pushes the limits of
More informationUNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX
UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX 1 Successful companies know that analytics are key to winning customer loyalty, optimizing business processes and beating their
More informationBetter planning and forecasting with IBM Predictive Analytics
IBM Software Business Analytics SPSS Predictive Analytics Better planning and forecasting with IBM Predictive Analytics Using IBM Cognos TM1 with IBM SPSS Predictive Analytics to build better plans and
More informationData Discovery, Analytics, and the Enterprise Data Hub
Data Discovery, Analytics, and the Enterprise Data Hub Version: 101 Table of Contents Summary 3 Used Data and Limitations of Legacy Analytic Architecture 3 The Meaning of Data Discovery & Analytics 4 Machine
More informationWork Smarter, Not Harder: Leveraging IT Analytics to Simplify Operations and Improve the Customer Experience
Work Smarter, Not Harder: Leveraging IT Analytics to Simplify Operations and Improve the Customer Experience Data Drives IT Intelligence We live in a world driven by software and applications. And, the
More informationOracle Data Integrator and Oracle Warehouse Builder Statement of Direction
First Published January 2010 Updated May 2011 Oracle Data Integrator and Oracle Warehouse Builder Statement of Direction Disclaimer This document in any form, software or printed matter, contains proprietary
More informationFoundations of Business Intelligence: Databases and Information Management
Foundations of Business Intelligence: Databases and Information Management Problem: HP s numerous systems unable to deliver the information needed for a complete picture of business operations, lack of
More informationThis software agent helps industry professionals review compliance case investigations, find resolutions, and improve decision making.
Lost in a sea of data? Facing an external audit? Or just wondering how you re going meet the challenges of the next regulatory law? When you need fast, dependable support and company-specific solutions
More informationHurwitz ValuePoint: Predixion
Predixion VICTORY INDEX CHALLENGER Marcia Kaufman COO and Principal Analyst Daniel Kirsch Principal Analyst The Hurwitz Victory Index Report Predixion is one of 10 advanced analytics vendors included in
More informationMathematical Libraries on JUQUEEN. JSC Training Course
Mitglied der Helmholtz-Gemeinschaft Mathematical Libraries on JUQUEEN JSC Training Course May 10, 2012 Outline General Informations Sequential Libraries, planned Parallel Libraries and Application Systems:
More informationA Review of Data Mining Techniques
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 4, April 2014,
More informationHyper ISE. Performance Driven Storage. XIO Storage. January 2013
Hyper ISE Performance Driven Storage January 2013 XIO Storage October 2011 Table of Contents Hyper ISE: Performance-Driven Storage... 3 The Hyper ISE Advantage... 4 CADP: Combining SSD and HDD Technologies...
More informationSAP Solution Brief SAP HANA. Transform Your Future with Better Business Insight Using Predictive Analytics
SAP Brief SAP HANA Objectives Transform Your Future with Better Business Insight Using Predictive Analytics Dealing with the new reality Dealing with the new reality Organizations like yours can identify
More information6 Ways Social Collaboration Can Boost Employee Engagement
6 Ways Social Collaboration Can Boost Employee Engagement 6 Ways Social Collaboration Can Boost Employee Engagement In today s demanding corporate environment, businesses are struggling to boost employee
More informationAgil visualisering och dataanalys
Agil visualisering och dataanalys True Business and IT collaboration in Analytics Niklas Packendorff @packendorff SAPSA Impuls 2014 Legal disclaimer The information in this presentation is confidential
More informationUnifying IT How Dell Is Using BMC
Unifying IT Management: How Dell Is Using BMC Software to Implement ITIL ABSTRACT Companies are looking for ways to maximize the efficiency with which they plan, deliver, and manage technology services.
More informationMEng, BSc Computer Science with Artificial Intelligence
School of Computing FACULTY OF ENGINEERING MEng, BSc Computer Science with Artificial Intelligence Year 1 COMP1212 Computer Processor Effective programming depends on understanding not only how to give
More informationKnowledgeSEEKER Marketing Edition
KnowledgeSEEKER Marketing Edition Predictive Analytics for Marketing The Easiest to Use Marketing Analytics Tool KnowledgeSEEKER Marketing Edition is a predictive analytics tool designed for marketers
More informationAdvanced In-Database Analytics
Advanced In-Database Analytics Tallinn, Sept. 25th, 2012 Mikko-Pekka Bertling, BDM Greenplum EMEA 1 That sounds complicated? 2 Who can tell me how best to solve this 3 What are the main mathematical functions??
More informationThe NX CAM-SINUMERIK advantage
The NX CAM-SINUMERIK advantage White Paper Optimizing the connection between CAM software and your machine tool controllers To get the best performance out of today s advanced machine tools, your company
More informationA technical paper for Microsoft Dynamics AX users
s c i t y l a n a g n i Implement. d e d e e N is h c a o r Why a New app A technical paper for Microsoft Dynamics AX users ABOUT THIS WHITEPAPER 03 06 A TRADITIONAL APPROACH TO BI A NEW APPROACH This
More informationC a p a b i l i t i e s
S o u t h p o r t s B u s i n e s s I n t e l l i g e n c e C a p a b i l i t i e s At Southport, we help our clients easily transform data into intuitive dashboards and reports for greater analytical
More informationMaster of Science in Marketing Analytics (MSMA)
Master of Science in Marketing Analytics (MSMA) COURSE DESCRIPTION The Master of Science in Marketing Analytics program teaches students how to become more engaged with consumers, how to design and deliver
More informationAn Oracle White Paper May 2012. Oracle Database Cloud Service
An Oracle White Paper May 2012 Oracle Database Cloud Service Executive Overview The Oracle Database Cloud Service provides a unique combination of the simplicity and ease of use promised by Cloud computing
More informationAdvanced Big Data Analytics with R and Hadoop
REVOLUTION ANALYTICS WHITE PAPER Advanced Big Data Analytics with R and Hadoop 'Big Data' Analytics as a Competitive Advantage Big Analytics delivers competitive advantage in two ways compared to the traditional
More informationIBM Content Analytics adds value to Cognos BI
IBM Software IBM Industry Solutions IBM Content Analytics adds value to Cognos BI 2 IBM Content Analytics adds value to Cognos BI Analyzing unstructured information It is generally accepted that about
More informationORACLE TAX ANALYTICS. The Solution. Oracle Tax Data Model KEY FEATURES
ORACLE TAX ANALYTICS KEY FEATURES A set of comprehensive and compatible BI Applications. Advanced insight into tax performance Built on World Class Oracle s Database and BI Technology Design after the
More informationBusiness Usage Monitoring for Teradata
Managing Big Analytic Data Business Usage Monitoring for Teradata Increasing Operational Efficiency and Reducing Data Management Costs How to Increase Operational Efficiency and Reduce Data Management
More informationORACLE OLAP. Oracle OLAP is embedded in the Oracle Database kernel and runs in the same database process
ORACLE OLAP KEY FEATURES AND BENEFITS FAST ANSWERS TO TOUGH QUESTIONS EASILY KEY FEATURES & BENEFITS World class analytic engine Superior query performance Simple SQL access to advanced analytics Enhanced
More informationIntroduction to MATLAB for Data Analysis and Visualization
Introduction to MATLAB for Data Analysis and Visualization Sean de Wolski Application Engineer 2014 The MathWorks, Inc. 1 Data Analysis Tasks Files Data Analysis & Modeling Reporting and Documentation
More informationW 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 informationInnovative technology for big data analytics
Technical white paper Innovative technology for big data analytics The HP Vertica Analytics Platform database provides price/performance, scalability, availability, and ease of administration Table of
More informationTIBCO Spotfire Guided Analytics. Transferring Best Practice Analytics from Experts to Everyone
TIBCO Spotfire Guided Analytics Transferring Best Practice Analytics from Experts to Everyone Introduction Business professionals need powerful and easy-to-use data analysis applications in order to make
More informationThe Edge Editions of SAP InfiniteInsight Overview
Analytics Solutions from SAP The Edge Editions of SAP InfiniteInsight Overview Enabling Predictive Insights with Mouse Clicks, Not Computer Code Table of Contents 3 The Case for Predictive Analysis 5 Fast
More information10 Things DBAs Probably Don t Know LiteSpeed Can Do. written by Brent Ozar, SQL Server DBA
10 Things DBAs Probably Don t Know LiteSpeed Can Do written by Brent Ozar, SQL Server DBA Copyright Quest Software, Inc. 2007. All rights reserved. This guide contains proprietary information, which is
More informationCA Repository for z/os r7.2
PRODUCT SHEET CA Repository for z/os CA Repository for z/os r7.2 CA Repository for z/os is a powerful metadata management tool that helps organizations to identify, understand, manage and leverage enterprise-wide
More informationArtificial Intelligence in Retail Site Selection
Artificial Intelligence in Retail Site Selection Building Smart Retail Performance Models to Increase Forecast Accuracy By Richard M. Fenker, Ph.D. Abstract The term Artificial Intelligence or AI has been
More informationBEYOND POINT AND CLICK THE EXPANDING DEMAND FOR CODING SKILLS BURNING GLASS TECHNOLOGIES JUNE 2016
BEYOND POINT AND CLICK THE EXPANDING DEMAND FOR CODING SKILLS BURNING GLASS TECHNOLOGIES JUNE 2016 1 EXECUTIVE SUMMARY BEYOND POINT AND CLICK BEYOND POINT AND CLICK THE EXPANDING DEMAND FOR CODING SKILLS
More informationData Analysis with MATLAB. 2013 The MathWorks, Inc. 1
Data Analysis with MATLAB 2013 The MathWorks, Inc. 1 Agenda Introduction Data analysis with MATLAB and Excel Break Developing applications with MATLAB Solving larger problems Summary 2 Modeling the Solar
More informationmysap ERP FINANCIALS SOLUTION OVERVIEW
mysap ERP FINANCIALS SOLUTION OVERVIEW EFFECTIVE FINANCIAL MANAGEMENT ... IS KEY TO BUSINESS SUCCESS mysap ERP FINANCIALS YOUR BUSINESS, YOUR FUTURE, YOUR SUCCESS mysap ERP is the world s most complete
More informationSupply Chain Management gains insight on supplier pricing with Microsoft BI
Supply Chain Management gains insight on supplier pricing with Microsoft BI Supply Chain Management gains insight on supplier pricing with Microsoft BI Our client, one of the world s largest oil and gas
More informationAn introduction to Value-at-Risk Learning Curve September 2003
An introduction to Value-at-Risk Learning Curve September 2003 Value-at-Risk The introduction of Value-at-Risk (VaR) as an accepted methodology for quantifying market risk is part of the evolution of risk
More informationElegantJ BI. White Paper. The Competitive Advantage of Business Intelligence (BI) Forecasting and Predictive Analysis
ElegantJ BI White Paper The Competitive Advantage of Business Intelligence (BI) Forecasting and Predictive Analysis Integrated Business Intelligence and Reporting for Performance Management, Operational
More informationBig Data Without Big Headaches: Managing Your Big Data Infrastructure for Optimal Efficiency
Big Data Without Big Headaches: Managing Your Big Data Infrastructure for Optimal Efficiency The Growing Importance, and Growing Challenges, of Big Data Big Data is hot. Highly visible early adopters such
More informationConfidently Anticipate and Drive Better Business Outcomes
SAP Brief Analytics s from SAP SAP Predictive Analytics Objectives Confidently Anticipate and Drive Better Business Outcomes See the future more clearly with predictive analytics See the future more clearly
More informationIntroduction 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 informationData Warehouse Appliances: The Next Wave of IT Delivery. Private Cloud (Revocable Access and Support) Applications Appliance. (License/Maintenance)
Appliances are rapidly becoming a preferred purchase option for large and small businesses seeking to meet expanding workloads and deliver ROI in the face of tightening budgets. TBR is reporting the results
More informationIntroduction to Data Mining and Business Intelligence Lecture 1/DMBI/IKI83403T/MTI/UI
Introduction to Data Mining and Business Intelligence Lecture 1/DMBI/IKI83403T/MTI/UI Yudho Giri Sucahyo, Ph.D, CISA (yudho@cs.ui.ac.id) Faculty of Computer Science, University of Indonesia Objectives
More informationWHITE PAPER Get Your Business Intelligence in a "Box": Start Making Better Decisions Faster with the New HP Business Decision Appliance
WHITE PAPER Get Your Business Intelligence in a "Box": Start Making Better Decisions Faster with the New HP Business Decision Appliance Sponsored by: HP and Microsoft Dan Vesset February 2011 Brian McDonough
More informationAddress IT costs and streamline operations with IBM service desk and asset management.
Asset management and service desk solutions To support your IT objectives Address IT costs and streamline operations with IBM service desk and asset management. Highlights Help improve the value of IT
More informationMarch 2014. Oracle Business Intelligence Discoverer Statement of Direction
March 2014 Oracle Business Intelligence Discoverer Statement of Direction Oracle Statement of Direction Oracle Business Intelligence Discoverer Disclaimer This document in any form, software or printed
More informationCybersecurity Analytics for a Smarter Planet
IBM Institute for Advanced Security December 2010 White Paper Cybersecurity Analytics for a Smarter Planet Enabling complex analytics with ultra-low latencies on cybersecurity data in motion 2 Cybersecurity
More informationSAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI. May 2013
SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI May 2013 SAP s Strategic Focus on Business Intelligence Core Self-service Mobile Extreme Social Core for innovation Complete
More informationSample of Best Practices
Sample of Best Practices For a Copy of the Complete Set Call Katral Consulting Group 954-349-1281 Section 1 Planning & Forecasting Retail Best Practice Katral Consulting Group 1 of 7 Last printed 2005-06-10
More informationORACLE SALES ANALYTICS
ORACLE SALES ANALYTICS KEY FEATURES & BENEFITS FOR BUSINESS USERS Analyze pipeline opportunities to determine actions required to meet sales targets Determine which products and customer segments generate
More informationShould Costing Version 1.1
Should Costing Identify should cost elements early in the design phase, and enable cost down initiatives Version 1.1 August, 2010 WHITE PAPER Copyright Notice Geometric Limited. All rights reserved. No
More informationWell packaged sets of preinstalled, integrated, and optimized software on select hardware in the form of engineered systems and appliances
INSIGHT Oracle's All- Out Assault on the Big Data Market: Offering Hadoop, R, Cubes, and Scalable IMDB in Familiar Packages Carl W. Olofson IDC OPINION Global Headquarters: 5 Speen Street Framingham, MA
More informationCentris optimises user support with integrated service desk
CUSTOMER SUCCESS STORY Centris optimises user support with integrated service desk CUSTOMER PROFILE Industry: IT services Company: Centris AG, Solothurn, Switzerland Revenue: 2008 sales: 46.7M SFR Employees:
More informationUnleash your intuition
Introducing Qlik Sense Unleash your intuition Qlik Sense is a next-generation self-service data visualization application that empowers everyone to easily create a range of flexible, interactive visualizations
More informationEST.03. An Introduction to Parametric Estimating
EST.03 An Introduction to Parametric Estimating Mr. Larry R. Dysert, CCC A ACE International describes cost estimating as the predictive process used to quantify, cost, and price the resources required
More informationhmetrix Revolutionizing Healthcare Analytics with Vertica & Tableau
Powered by Vertica Solution Series in conjunction with: hmetrix Revolutionizing Healthcare Analytics with Vertica & Tableau The cost of healthcare in the US continues to escalate. Consumers, employers,
More informationSQL Server 2005 Reporting Services (SSRS)
SQL Server 2005 Reporting Services (SSRS) Author: Alex Payne and Brian Welcker Published: May 2005 Summary: SQL Server 2005 Reporting Services is a key component of SQL Server 2005. Reporting Services
More informationWhite Paper: SAS and Apache Hadoop For Government. Inside: Unlocking Higher Value From Business Analytics to Further the Mission
White Paper: SAS and Apache Hadoop For Government Unlocking Higher Value From Business Analytics to Further the Mission Inside: Using SAS and Hadoop Together Design Considerations for Your SAS and Hadoop
More informationIBM Software Information Management Creating an Integrated, Optimized, and Secure Enterprise Data Platform:
Creating an Integrated, Optimized, and Secure Enterprise Data Platform: IBM PureData System for Transactions with SafeNet s ProtectDB and DataSecure Table of contents 1. Data, Data, Everywhere... 3 2.
More information