Data Governance for Big Data Analytics

Size: px
Start display at page:

Download "Data Governance for Big Data Analytics"

Transcription

1

2 Data Governance for Big Data Analytics Dan Sholler Director, Product Marketing May 3, 2016

3 How Do We Drive Big Data Value? Archival & Storage Operational efficiency Discovery & Analytics Data-centric decisions Operational Analytics Real-time insights & actions Big data initiative often paid for by storage costs IT focus Rapid turnaround on traditional analysis Backlog build out Beginning self-service Data scientist focus Broad user participation Segmented by usage Self-service analytics are the majority case 3

4 Have you integrated your business glossary with your analytics tools? Respond at PollEv.com/Collibra Text COLLIBRA to once to join. Then text a KEYWORD Answers to this poll are anonymous 4

5 Have you integrated your business glossary with your analytics tools? Respond at PollEv.com/Collibra Text COLLIBRA to once to join. Then text a KEYWORD Answers to this poll are anonymous 5

6 Begin at the Beginning Archival & Storage Operational efficiency Discovery & Analytics Data-centric decisions Operational Analytics Real-time insights & actions Big data initiative often paid for by storage costs IT focus Rapid turnaround on traditional analysis Backlog build out Beginning self-service Data scientist focus Broad user participation Segmented by usage Self-service analytics are the majority case 6

7 Data as Grist for the Mill What did we start with? Operational efficiency Cheap storage Data is just stuff Put everything in Users know what they want Sharing due to colocation Native metadata What is the outcome? Few controls Users struggle 7

8 Emerging Data Lake Why did it make sense? Initial startups were limited in scope Silos and scale problems appeared later Storage and archiving Focus on Process Data Dictionary Security Classification Retention Policy Large-scale jobs (spark, Map/Reduce, R integration) 8

9 Data Haves and Have Nots The data literate create silos within the lake Purpose-built data sets and associated process and analytics Tolerate corporate governance The data poor are excluded because of lack of visibility and complexity Use traditional summarizations Reconstruct data warehouse concepts Copies and more copies for each variation 9

10 How Do Organizations Begin their Big Data Journey? Data as stuff : the origin of the data lake Data lakes were developed based on the traditional view of data. This assumes data is generic, and broadly useful if properly prepared. Manage the data lake based on that stuff theory Created basic data management procedures for data sets. Controls are seen as bad and no proper governance. Operational efficiency creates data inequality Current heavy users of data gain efficiency, but broad-based use is too difficult and is discouraged. The ROI model works, but the analytics are (mostly) a failure 10

11 Create Value From Big Data Analytics Archival & Storage Operational efficiency Discovery & Analytics Data-centric decisions Operational Analytics Real-time insights & actions Big data initiative often paid for by storage costs IT focus Rapid turnaround on traditional analysis Backlog build out Beginning self-service Data scientist focus Broad user participation Segmented by usage Self-service analytics are the majority case 11

12 Dictionary and Catalog Business Metadata Meaning, quality, integration Business users cannot use what they cannot find Copies cause confusion Quality viewpoint is critical to usability Integration across silos requires master data consistency What was the outcome? Ingestion controls for metadata basis 12

13 Data Helpdesk Data helpdesk is required Self-service users must be supported Lynchpin of data trust Processes of establishing trust Focus on suitability of data Problem/resolution Relative value Usage tracking Analytics assistance 13

14 Process at the Point of Use Identify relationships and views Access requests Data sharing agreements Catalog sharing Ingestion control Determine duplicates Identification Master data Use case associations 14

15 How to Enable Big Data Analytics? Dictionary and Catalog - Business Metadata Creating a comprehensive view of business and technical metadata reduces preparation and discovery time, and gives self-service users access to data and analytical views. Data Helpdesk to support self-service Any resource must be backed up by a well-understood process for helping users overcome challenges and for repairing anything that is not right. Focus processes on point of use Minimal ingestion control to populate basic metadata and sync master data. Apply controls at the point of consumption, except for obvious issues like duplicates. Enable analytics and discovery for scientists and analysts. 15

16 Deliver Governed Self-Service Across the Organization Archival & Storage Operational efficiency Discovery & Analytics Data-centric decisions Operational Analytics Real-time insights & actions Big data initiative often paid for by storage costs IT focus Rapid turnaround on traditional analysis Backlog build out Beginning self-service Data scientist focus Broad user participation Segmented by usage Self-service analytics are the majority case 16

17 Information Value Opportunity Value models give insight Prioritize helpdesk issues Discover monetization opportunities Improve management changes Value models are immature Begin with no assumption of precision, but relative value is important 17

18 Managing Big Data Policies Policy creation/modification New combinations of data reveal new insights, but can also create new risks Methodology for identifying and valuing risks Exception management must be part of helpdesk capability Flexible Policy Management Usability Trust Innovation 18

19 Segregation of Governance by Role User Type Needs Key Requirements Exception Process Basic (self-service) users Operational/ production Find appropriate data Avoid privacy and legal violations Protect confidentiality Business analysts Strategic/planning Crossorganizational data Data manipulation Data scientist Innovation Any data inside and outside the organization Formal and helpdesk based Helpdesk based VIP None, open sandbox 19

20 New Governance in the Big Data Analytics World Ethics Governance Behavioral Information Model Governance Big Data Governance Value Models 20

21 How to Operationalize Big Data Analytics? Policy management Create policies easily Determine those policies that apply and manage exceptions Identify need for new policies Segregation of governance by role Give basic users freedom within guardrails Expand guardrails for business analysts doing strategic work Allow data scientists to run without them Governance segregation by purpose Models and views PII data Behavioral information Enabling differentiation for role and purpose is the key challenge. 21

22 Big Data Analytics Journey Begin at the beginning Move quickly to create visibility using dictionary, business glossary, or catalog Span operational silos Make sure the have-nots have something Enable analytics Enhance metadata with quality, value, and other metadata Create a data helpdesk Initiate governance processes at the point of use where possible Deliver governed self-service across the organization Ethics policies Valuation Model and algorithm governance 22

23 Thank You Tell us how we did citizens.collibra.com/feedback

24

Ganzheitliches Datenmanagement

Ganzheitliches Datenmanagement Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist

More information

INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES

INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES INDUSTRY BRIEF DATA CONSOLIDATION AND MULTI-TENANCY IN FINANCIAL SERVICES Data Consolidation and Multi-Tenancy in Financial Services CLOUDERA INDUSTRY BRIEF 2 Table of Contents Introduction 3 Security

More information

Big Data Analytics Roadmap Energy Industry

Big Data Analytics Roadmap Energy Industry Douglas Moore, Principal Consultant, Architect June 2013 Big Data Analytics Energy Industry Agenda Why Big Data in Energy? Imagine Overview - Use Cases - Readiness Analysis - Architecture - Development

More information

The Future of Data Management

The Future of Data Management The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government

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 Live! Draft agenda as of November 20, 2015 9:00 AM 10:45 AM BEST IN SHOW: SETTING YOUR ORGANIZATION UP FOR SUCCESS USING ANALYTICS

Analytics Live! Draft agenda as of November 20, 2015 9:00 AM 10:45 AM BEST IN SHOW: SETTING YOUR ORGANIZATION UP FOR SUCCESS USING ANALYTICS WEDNESDAY, May 11, 2016 Analytics Live! Draft agenda as of November 20, 2015 9:00 AM 10:45 AM BEST IN SHOW: SETTING YOUR ORGANIZATION UP FOR SUCCESS USING ANALYTICS 9:00 AM 9:05 AM Welcome from Conference

More information

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop Hadoop Data Hubs and BI Supporting the migration from siloed reporting and BI to centralized services with Hadoop John Allen October 2014 Introduction John Allen; computer scientist Background in data

More information

REDEFINE BIG DATA: BECOMING A DATA-DRIVEN BUSINESS WITH THE EMC BUSINESS DATA LAKE CHRIS HARROLD, GLOBAL CTO, BIG DATA SOLUTIONS

REDEFINE BIG DATA: BECOMING A DATA-DRIVEN BUSINESS WITH THE EMC BUSINESS DATA LAKE CHRIS HARROLD, GLOBAL CTO, BIG DATA SOLUTIONS 1 REDEFINE BIG DATA: BECOMING A DATA-DRIVEN BUSINESS WITH THE EMC BUSINESS DATA LAKE CHRIS HARROLD, GLOBAL CTO, BIG DATA SOLUTIONS 2 REDEFINE BIG DATA: BECOMING A DATA-DRIVEN BUSINESS WITH THE #ULTRADATAFORTRESS

More information

Case Study. Case Study

Case Study. Case Study Case Study Company Overview Great Lakes is a non-profit organization dedicated to helping make college a reality. The organization makes successful student loan repayment possible, in partnership with

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

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015 Bringing Strategy to Life Using an Intelligent Platform to Become Ready Informatica Government Summit April 23, 2015 Informatica Solutions Overview Power the -Ready Enterprise Government Imperatives Improve

More information

Are You Big Data Ready?

Are You Big Data Ready? ACS 2015 Annual Canberra Conference Are You Big Data Ready? Vladimir Videnovic Business Solutions Director Oracle Big Data and Analytics Introduction Introduction What is Big Data? If you can't explain

More information

Business Data Authority: A data organization for strategic advantage

Business Data Authority: A data organization for strategic advantage Business Data Authority: A data organization for strategic advantage Collibra Data Governance Software Company Reference Customers Business Data Growth and Challenge TREND Exploding volume, velocity and

More information

The Data Reservoir as an enabler of differentiating Analytics initiatives

The Data Reservoir as an enabler of differentiating Analytics initiatives Mandy Chessell CBE FREng CEng FBCS Distinguished Engineer, Master Inventor Chief Architect, Solutions The Reservoir as an enabler of differentiating Analytics initiatives 3 rd March 2015 Agenda Changing

More information

Why Most Big Data Projects Fail

Why Most Big Data Projects Fail Learning from Common Mistakes to Transform Big Data into Insights What is Big Data?...2 Three Reasons Why Big Data Projects Fail...3 How Can Big Data Be Used?...5 The Lavastorm Approach to Big Data...5

More information

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data SOLUTION BRIEF Understanding Your Customer Journey by Extending Adobe Analytics with Big Data Business Challenge Today s digital marketing teams are overwhelmed by the volume and variety of customer interaction

More information

Big Data: Key Concepts The three Vs

Big Data: Key Concepts The three Vs Big Data: Key Concepts The three Vs Big data in general has context in three Vs: Sheer quantity of data Speed with which data is produced, processed, and digested Diversity of sources inside and outside.

More information

Big Data and New Paradigms in Information Management. Vladimir Videnovic Institute for Information Management

Big Data and New Paradigms in Information Management. Vladimir Videnovic Institute for Information Management Big Data and New Paradigms in Information Management Vladimir Videnovic Institute for Information Management 2 "I am certainly not an advocate for frequent and untried changes laws and institutions must

More information

SAS Data Management Technologies Supporting a Data Governance Process. Dave Smith, SAS UK & I

SAS Data Management Technologies Supporting a Data Governance Process. Dave Smith, SAS UK & I SAS Data Management Technologies Supporting a Data Governance Process Dave Smith, SAS UK & I Agenda Data Governance What it is Why it s needed How to get started SAS technologies which can assist Data

More information

Addressing Risk Data Aggregation and Risk Reporting Ben Sharma, CEO. Big Data Everywhere Conference, NYC November 2015

Addressing Risk Data Aggregation and Risk Reporting Ben Sharma, CEO. Big Data Everywhere Conference, NYC November 2015 Addressing Risk Data Aggregation and Risk Reporting Ben Sharma, CEO Big Data Everywhere Conference, NYC November 2015 Agenda 1. Challenges with Risk Data Aggregation and Risk Reporting (RDARR) 2. How a

More information

Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps

Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps White provides GRASP-powered big data predictive analytics that increases marketing effectiveness and customer satisfaction with API-driven adaptive apps that anticipate, learn, and adapt to deliver contextual,

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

Enterprise Information Catalog. Self Service Data Discovery through Enterprise Information Catalog

Enterprise Information Catalog. Self Service Data Discovery through Enterprise Information Catalog Enterprise Information Catalog Self Service Data Discovery through Enterprise Information Catalog Safe Harbor The information being provided today is for informational purposes only. The development, release

More information

OpenChorus: Building a Tool-Chest for Big Data Science

OpenChorus: Building a Tool-Chest for Big Data Science OpenChorus: Building a Tool-Chest for Big Data Science Milind Bhandarkar Chief Scientist, Machine Learning Platforms EMC Greenplum 1 Agenda! Tools for Data Science! Data Science Workflow! Greenplum OpenChorus!

More information

Driving Business Value Through Big Data Analytics Creating Winners And Disruptors

Driving Business Value Through Big Data Analytics Creating Winners And Disruptors Driving Business Value Through Big Data Analytics Creating Winners And Disruptors Gokula Mishra Vice President of Business Analytics Product Group Copyright 2014 Oracle and/or its affiliates. All rights

More information

Optimized for the Industrial Internet: GE s Industrial Data Lake Platform

Optimized for the Industrial Internet: GE s Industrial Data Lake Platform Optimized for the Industrial Internet: GE s Industrial Lake Platform Agenda Opportunity Solution Challenges Result GE Lake 2 GESoftware.com @GESoftware #IndustrialInternet Big opportunities with Industrial

More information

PERFORMANCE MANAGEMENT FOR BIG DATA APPLICATIONS

PERFORMANCE MANAGEMENT FOR BIG DATA APPLICATIONS MEETS PERFORMANCE MANAGEMENT FOR BIG DATA APPLICATIONS Solution Brief 1 Introduction Cascading has emerged as a proven open source application development platform for building big data applications on

More information

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data IBM Software Group Important Disclaimer THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL

More information

7 Best Practices for Speech Analytics. Autonomy White Paper

7 Best Practices for Speech Analytics. Autonomy White Paper 7 Best Practices for Speech Analytics Autonomy White Paper Index Executive Summary 1 Best Practice #1: Prioritize Efforts 1 Best Practice #2: Think Contextually to Get to the Root Cause 1 Best Practice

More information

Social Media Analysis and Audience Engagement

Social Media Analysis and Audience Engagement Solution in Detail Media and Marketing Executive Summary Contact Us Social Media Analysis and Audience Engagement Analyze Social Media and Engage Customers Audience Engagement Consumer Experiences Social

More information

Accelerate BI Initiatives With Self-Service Data Discovery And Integration

Accelerate BI Initiatives With Self-Service Data Discovery And Integration A Custom Technology Adoption Profile Commissioned By Attivio June 2015 Accelerate BI Initiatives With Self-Service Data Discovery And Integration Introduction The rapid advancement of technology has ushered

More information

Integrating Big Data into Business Processes and Enterprise Systems

Integrating Big Data into Business Processes and Enterprise Systems Integrating Big Data into Business Processes and Enterprise Systems THOUGHT LEADERSHIP FROM BMC TO HELP YOU: Understand what Big Data means Effectively implement your company s Big Data strategy Get business

More information

The Top Challenges in Big Data and Analytics

The Top Challenges in Big Data and Analytics Big Data Leads to Insights, Improvements & Automation Over the past few years, there has been a tremendous amount of hype around Big Data data that doesn t work well in traditional BI systems and warehouses

More information

Customer Insight Appliance. Enabling retailers to understand and serve their customer

Customer Insight Appliance. Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer. Technology has empowered today

More information

Technology or Solution?

Technology or Solution? Technology or Solution? Dean Walters CIO Liberty Global Privacy and security are important and pervasive concerns while dealing with Big Data and Liberty Global is committed to protecting privacy and treat

More information

Getting started with a data quality program

Getting started with a data quality program IBM Software White Paper Information Management Getting started with a data quality program 2 Getting started with a data quality program The data quality challenge Organizations depend on quality data

More information

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Bruce Eckert, National Practice Director, Advisory Group Ramesh Sakiri, Executive Consultant, Healthcare

More information

A Clear View Of Healthcare Claims

A Clear View Of Healthcare Claims A Clear View Of Healthcare Claims An Inside Look at The New Tools and Solutions Health Insurance Companies Are Utilizing to Operationalize Back-Office Processing Healthcare organizations today are challenged

More information

Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization

Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization 1/22 As a part of Qlik Consulting, works with Customers to assist in shaping strategic elements related to analytics to ensure adoption and success throughout their analytics journey. Qlik Advisory 2/22

More information

AppSymphony White Paper

AppSymphony White Paper AppSymphony White Paper Secure Self-Service Analytics for Curated Digital Collections Introduction Optensity, Inc. offers a self-service analytic app composition platform, AppSymphony, which enables data

More information

Beyond the Data Lake

Beyond the Data Lake WHITE PAPER Beyond the Data Lake Managing Big Data for Value Creation In this white paper 1 The Data Lake Fallacy 2 Moving Beyond Data Lakes 3 A Big Data Warehouse Supports Strategy, Value Creation Beyond

More information

SABER-Education Management Information Systems (EMIS) Rubric

SABER-Education Management Information Systems (EMIS) Rubric POLICY AREA 1: ENABLING ENVIRONMENT Institutionalization of system: EMIS is institutionalized as an integral part of the system and the government contains crucial components of a enabling environment,

More information

Big Data Patterns. Ron Bodkin Founder and President, Think Big

Big Data Patterns. Ron Bodkin Founder and President, Think Big Big Data Patterns Ron Bodkin Founder and President, Think Big 1 About Me Ron Bodkin Founder and President, Think Big I have 9 years experience working with Big Data and Hadoop. In 2010, I founded Think

More information

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights Torquex Customer Engagement Analytics End to End View of Customer Interactions and Operational Insights Rob Witthoft Torquex {Pty) Ltd 10/1/2015 Torquex Customer Engagement Analytics Torquex Customer Engagement

More information

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated

More information

Elevating Customer Analytics Initiatives and Building the Coveted Holistic Customer View

Elevating Customer Analytics Initiatives and Building the Coveted Holistic Customer View Research Brief Elevating Customer Analytics Initiatives and Building the Coveted Holistic Customer View November 2014 Written By: Christy Maver, Actian Key Takeaways 1. The evolution of Big Data and analytics

More information

TEXT ANALYTICS INTEGRATION

TEXT ANALYTICS INTEGRATION TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment

More information

The Future of Data Management with Hadoop and the Enterprise Data Hub

The Future of Data Management with Hadoop and the Enterprise Data Hub The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees

More information

ANALYTICS. Acxiom Marketing Maturity Model CheckPoint. Are you where you want to be? Or do you need to advance your analytics capabilities?

ANALYTICS. Acxiom Marketing Maturity Model CheckPoint. Are you where you want to be? Or do you need to advance your analytics capabilities? ANALYTICS Analytics defined Analytics is the process of studying data to identify potential trends, evaluate decisions, or assess the performance of a tool, event, or scenario. The process should include

More information

Datenverwaltung im Wandel - Building an Enterprise Data Hub with

Datenverwaltung im Wandel - Building an Enterprise Data Hub with Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees

More information

Data Governance in the Hadoop Data Lake. Michael Lang May 2015

Data Governance in the Hadoop Data Lake. Michael Lang May 2015 Data Governance in the Hadoop Data Lake Michael Lang May 2015 Introduction Product Manager for Teradata Loom Joined Teradata as part of acquisition of Revelytix, original developer of Loom VP of Sales

More information

From Lab to Factory: The Big Data Management Workbook

From Lab to Factory: The Big Data Management Workbook Executive Summary From Lab to Factory: The Big Data Management Workbook How to Operationalize Big Data Experiments in a Repeatable Way and Avoid Failures Executive Summary Businesses looking to uncover

More information

Endeca Introduction to Big Data Analytics

Endeca Introduction to Big Data Analytics Endeca Introduction to Big Data Analytics Overview May 8, 2013 1 Agenda Introduction Overview Analytics for Big Data Overview Endeca Information Discovery Q & A 2 Introduction Business vs. IT Big Data

More information

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty CRM Best Practice Webinar Next generation CRM for enhanced customer journeys: from leads to loyalty Featured guest speaker Leslie Ament SVP Research and Principal Analyst at Hypatia Research Group and

More information

The Role of Big Data & Advanced Analytics in SDN/NFV. Moderated by Jim Hodges, Senior Analyst, Heavy Reading June 9, 2015

The Role of Big Data & Advanced Analytics in SDN/NFV. Moderated by Jim Hodges, Senior Analyst, Heavy Reading June 9, 2015 The Role of Big Data & Advanced Analytics in SDN/NFV Moderated by Jim Hodges, Senior Analyst, Heavy Reading June 9, 2015 DAY 1 TUESDAY, JUNE 9, 2015 3:00 4:00 PM BREAKOUT ROOM #4 VIRTUALIZATION The Role

More information

ByteMobile Insight. Subscriber-Centric Analytics for Mobile Operators

ByteMobile Insight. Subscriber-Centric Analytics for Mobile Operators Subscriber-Centric Analytics for Mobile Operators ByteMobile Insight is a subscriber-centric analytics platform that provides mobile network operators with a comprehensive understanding of mobile data

More information

White Paper. Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses

White Paper. Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses White Paper Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses Contents Forward-Looking Decision Support... 1 Self-Service Analytics in Action... 1 Barriers

More information

White. Paper. EMC Isilon: A Scalable Storage Platform for Big Data. April 2014

White. Paper. EMC Isilon: A Scalable Storage Platform for Big Data. April 2014 White Paper EMC Isilon: A Scalable Storage Platform for Big Data By Nik Rouda, Senior Analyst and Terri McClure, Senior Analyst April 2014 This ESG White Paper was commissioned by EMC Isilon and is distributed

More information

VIEWPOINT. High Performance Analytics. Industry Context and Trends

VIEWPOINT. High Performance Analytics. Industry Context and Trends VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations

More information

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview IBM InfoSphere Master Data Management Server Overview Master data management (MDM) allows organizations to generate business value from their most important information. Managing master data, or key business

More information

Data Modeling in the Age of Big Data

Data Modeling in the Age of Big Data Data Modeling in the Age of Big Data Pete Stiglich Pete Stiglich is a principal at Clarity Solution Group. pstiglich@clarity-us.com Abstract With big data adoption accelerating and strong interest in NoSQL

More information

NOS for Data Management (801) September 2014 V1.3

NOS for Data Management (801) September 2014 V1.3 NOS for Data Management (801) September 2014 V1.3 NOS Reference ESKITP801301 ESKITP801401 ESKITP801501 ESKITP801601 NOS Title Assist in Delivering the Data Management Infrastructure to Support Data Analysis

More information

BANKING ON CUSTOMER BEHAVIOR

BANKING ON CUSTOMER BEHAVIOR BANKING ON CUSTOMER BEHAVIOR How customer data analytics are helping banks grow revenue, improve products, and reduce risk In the face of changing economies and regulatory pressures, retail banks are looking

More information

Reporting, Visualization & Predictive Analytics on Big Data. 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555

Reporting, Visualization & Predictive Analytics on Big Data. 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555 Reporting, Visualization & Predictive Analytics on Big Data 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555 Your Hosts Today Davy Nys VP EMEA & APAC Pentaho Chuck Yarbrough

More information

Enabling Data Quality

Enabling Data Quality Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &

More information

Speech Analytics at Florida Blue

Speech Analytics at Florida Blue Speech Analytics at Florida Blue BIOGRAPHY Tayo Odusanya IT Developer Florida Blue ( 10.5 Years) Advanced Analytics Consultant/Nexidia Voice Analytics SME Education: B.Sc. Electrical Engineering University

More information

Effective Data Governance

Effective Data Governance perspective Effective Data Governance Abstract Data governance is no more just another item that is good to talk about and nice to have, for global data management organizations. This PoV looks into why

More information

Disrupt or be disrupted IT Driving Business Transformation

Disrupt or be disrupted IT Driving Business Transformation Disrupt or be disrupted IT Driving Business Transformation Gokula Mishra VP, Big Data & Advanced Analytics Business Analytics Product Group Copyright 2014 Oracle and/or its affiliates. All rights reserved.

More information

PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION

PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION A m a r t y a B h a t t a c h a r j y & S u n e e l G r o v e r P r i n c i p a l S o l u t i o n A r c h i t e

More information

Breaking with Tradition in the Insurance Industry: Strategies to Insure Operational Efficiency and Future Growth

Breaking with Tradition in the Insurance Industry: Strategies to Insure Operational Efficiency and Future Growth Breaking with Tradition in the Insurance Industry: Strategies to Insure Operational Efficiency and Future Growth An Executive Perspective Authored by Deb Miller 1 Business process SOLUTIONS EXEcutive Perspective

More information

Android App Marketing and Google Play

Android App Marketing and Google Play Android App Marketing and Google Play WHAT YOU NEED TO KNOW Learn how to improve Android app discovery, drive more installs, and generate long-term, loyal usage. TO SUCCEED, MARKETERS NEED VISIBILITY.

More information

Evolving Data Warehouse Architectures

Evolving Data Warehouse Architectures Evolving Data Warehouse Architectures In the Age of Big Data Philip Russom April 15, 2014 TDWI would like to thank the following companies for sponsoring the 2014 TDWI Best Practices research report: Evolving

More information

Datalogix. Using IBM Netezza data warehouse appliances to drive online sales with offline data. Overview. IBM Software Information Management

Datalogix. Using IBM Netezza data warehouse appliances to drive online sales with offline data. Overview. IBM Software Information Management Datalogix Using IBM Netezza data warehouse appliances to drive online sales with offline data Overview The need Infrastructure could not support the growing online data volumes and analysis required The

More information

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK 5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK CUSTOMER JOURNEY Technology is radically transforming the customer journey. Today s customers are more empowered and connected

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

White Paper Combining Attitudinal Data and Behavioral Data for Meaningful Analysis

White Paper Combining Attitudinal Data and Behavioral Data for Meaningful Analysis MAASSMEDIA, LLC WEB ANALYTICS SERVICES White Paper Combining Attitudinal Data and Behavioral Data for Meaningful Analysis By Abigail Lefkowitz, MaassMedia Executive Summary: In the fast-growing digital

More information

Enterprise Data Management for SAP. Gaining competitive advantage with holistic enterprise data management across the data lifecycle

Enterprise Data Management for SAP. Gaining competitive advantage with holistic enterprise data management across the data lifecycle Enterprise Data Management for SAP Gaining competitive advantage with holistic enterprise data management across the data lifecycle By having industry data management best practices, from strategy through

More information

Implementing a Data Governance Initiative

Implementing a Data Governance Initiative Implementing a Data Governance Initiative Presented by: Linda A. Montemayor, Technical Director AT&T Agenda AT&T Business Alliance Data Governance Framework Data Governance Solutions: o Metadata Management

More information

Detect & Investigate Threats. OVERVIEW

Detect & Investigate Threats. OVERVIEW Detect & Investigate Threats. OVERVIEW HIGHLIGHTS Introducing RSA Security Analytics, Providing: Security monitoring Incident investigation Compliance reporting Providing Big Data Security Analytics Enterprise-wide

More information

BigData 4 Action. explore your data... only for actions!

BigData 4 Action. explore your data... only for actions! explore your data... only for actions! BigData 4 Action Francis DESTIN September, 2014 A big data strategy could help you to boost your activity, improve your sales and re-think your organization But how

More information

DAMA NY DAMA Day October 17, 2013 IBM 590 Madison Avenue 12th floor New York, NY

DAMA NY DAMA Day October 17, 2013 IBM 590 Madison Avenue 12th floor New York, NY Big Data Analytics DAMA NY DAMA Day October 17, 2013 IBM 590 Madison Avenue 12th floor New York, NY Tom Haughey InfoModel, LLC 868 Woodfield Road Franklin Lakes, NJ 07417 201 755 3350 tom.haughey@infomodelusa.com

More information

Predicting the future of predictive analytics. December 2013

Predicting the future of predictive analytics. December 2013 Predicting the future of predictive analytics December 2013 Executive Summary Organizations are now exploring the possibilities of using historical data to exploit growth opportunities The proliferation

More information

What s New in Security Analytics 10.4. Be the Hunter.. Not the Hunted

What s New in Security Analytics 10.4. Be the Hunter.. Not the Hunted What s New in Security Analytics 10.4 Be the Hunter.. Not the Hunted Attackers Are Outpacing Detection Attacker Capabilities Time To Discovery Source: VERIZON 2014 DATA BREACH INVESTIGATIONS REPORT 2 TRANSFORM

More information

Building Big with Big Data Now companies are in the middle of a renovation that forces them to be analytics-driven to continue being competitive.

Building Big with Big Data Now companies are in the middle of a renovation that forces them to be analytics-driven to continue being competitive. Unlocking Big Data Building Big with Big Data Now companies are in the middle of a renovation that forces them to be analytics-driven to continue being competitive. Data analysis provides a complete insight

More information

RSA Security Analytics Security Analytics System Overview

RSA Security Analytics Security Analytics System Overview RSA Security Analytics Security Analytics System Overview Copyright 2010-2015 RSA, the Security Division of EMC. All rights reserved. Trademarks RSA, the RSA Logo and EMC are either registered trademarks

More information

A New Era of Cybersecurity Neil Mohammed, Sales Engineer

A New Era of Cybersecurity Neil Mohammed, Sales Engineer A New Era of Cybersecurity Neil Mohammed, Sales Engineer Copyright 2015 Raytheon Company. All rights reserved. R W Market Advantages Strong Financial Backing Accelerated Innovation Increased Breadth and

More information

Timo Elliott VP, Global Innovation Evangelist. 2015 SAP SE or an SAP affiliate company. All rights reserved. 1

Timo Elliott VP, Global Innovation Evangelist. 2015 SAP SE or an SAP affiliate company. All rights reserved. 1 Timo Elliott VP, Global Innovation Evangelist 2015 SAP SE or an SAP affiliate company. All rights reserved. 1 Analytics Takes Over The World 2015 SAP SE or an SAP affiliate company. All rights reserved.

More information

Data Governance in the Hadoop Data Lake. Kiran Kamreddy May 2015

Data Governance in the Hadoop Data Lake. Kiran Kamreddy May 2015 Data Governance in the Hadoop Data Lake Kiran Kamreddy May 2015 One Data Lake: Many Definitions A centralized repository of raw data into which many data-producing streams flow and from which downstream

More information

End Small Thinking about Big Data

End Small Thinking about Big Data CITO Research End Small Thinking about Big Data SPONSORED BY TERADATA Introduction It is time to end small thinking about big data. Instead of thinking about how to apply the insights of big data to business

More information

The 2016 global data management benchmark report

The 2016 global data management benchmark report The 2016 global data management benchmark report TABLE OF CONTENTS: Foreword...1 Methodology...2 Building customer understanding through better data insights...3 Data collection processes... 3 Striving

More information

Information Economics & Investigation Management in the Digital Age

Information Economics & Investigation Management in the Digital Age Information Economics & Investigation Management in the Digital Age IBM Software Solutions Group INVESTIGATOR Paul Van Den Berg IBM Software Group Australia & New Zealand Investigation 1 2 Detection, Investigation

More information

An Oracle White Paper November 2011. Analytics: The Cornerstone for Sustaining Great Customer Support

An Oracle White Paper November 2011. Analytics: The Cornerstone for Sustaining Great Customer Support An Oracle White Paper November 2011 Analytics: The Cornerstone for Sustaining Great Customer Support Executive Overview Without effective analytics, it is virtually impossible to truly understand, let

More information

Data Catalogs for Hadoop Achieving Shared Knowledge and Re-usable Data Prep. Neil Raden Hired Brains Research, LLC

Data Catalogs for Hadoop Achieving Shared Knowledge and Re-usable Data Prep. Neil Raden Hired Brains Research, LLC Data Catalogs for Hadoop Achieving Shared Knowledge and Re-usable Data Prep Neil Raden Hired Brains Research, LLC Traditionally, the job of gathering and integrating data for analytics fell on data warehouses.

More information

Data Refinery with Big Data Aspects

Data Refinery with Big Data Aspects International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 7 (2013), pp. 655-662 International Research Publications House http://www. irphouse.com /ijict.htm Data

More information

Big Data on Tap Jonathan Gray

Big Data on Tap Jonathan Gray Unified Integration for Data-Driven Applications Big Data on Tap Jonathan Gray Founder & CEO November 7, 2016 Hadoop Enables New Applications and Architectures ENTERPRISE DATA LAKES BIG DATA ANALYTICS

More information

Transforming Industries with Data & Analytics

Transforming Industries with Data & Analytics Chris Howard FBCS CITP Technical Lead, Big Data & Analytics IBM Executive IT Specialist Transforming Industries with Data & Analytics 2 We are making a new future for our clients, our industry and our

More information

icem: intelligent Customer Experience Management for the customer-centric Operator

icem: intelligent Customer Experience Management for the customer-centric Operator intelligent Customer Experience Management icem: intelligent Customer Experience Management for the customer-centric Operator To overcome the challenges of decreasing margins from voice services, whilst

More information

Assessing and implementing a Data Governance program in an organization

Assessing and implementing a Data Governance program in an organization Assessing and implementing a Data Governance program in an organization Executive Summary As companies realize the importance of data and the challenges they face in integrating the data from various sources,

More information

IBM Watson Analytics

IBM Watson Analytics IBM Watson Analytics Technology has changed expectations Our work and personal lives have blurred It s an always-on world A Do-It-Yourself mentality prevails 2 Leveraging analytics still faces many obstacles

More information