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Using Visualization to Succeed with Big Data
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1. Big Data Visualization Webinar 9/19/2013
Big Data Visualization Webinar 2© Pactera. Confidential. All Rights Reserved. 2 Drivers for Data Visualization Market War 3 Traditional Visualization Tools 4 New Breed of Big Data Tools 5 Implementing Visual Analytics Tools 1 Pactera Overview 6 Questions & Answers
3 Global Footprint and Flexible Delivery Capabilities © Pactera. Confidential. All Rights Reserved. North America & EU: 500 Asia Pacific: 800 Greater China: 22,000Global FTE: 23,300 Pactera is a global company strategically headquartered in China, enabling 360 partnerships with global brands seeking to expand in one of the world’s largest and fastest-growing markets.
Criteria for (Big) Data Visualization © Pactera. Confidential. All Rights Reserved. 4
Business Benefits of Data Visualization Improves Decision Making Supports natural ability to think and understand visually Real-Time and Ad-Hoc Analysis Get real-time results and build reports without advance setup Self-Service for End Users Makes data available to more users, no expertise required Increase Productivity and Save Time Quickly find and analyze relevant data Improves Collaboration Bridge decision gaps, create a shared view and align decision making © Pactera. Confidential. All Rights Reserved. 5
Drivers for Market Demand & War Traditional BI & Business Discovery Markets are colliding © Pactera. Confidential. All Rights Reserved. 6
Closer Look at Selected Vendors © Pactera. Confidential. All Rights Reserved. 7
Microsoft continues to enhance their reporting capabilities with enhancements to their Excel, SharePoint, SSRS, SSAS suite. The newest addition is Power View. The name for this package of offerings is MS SQL Server Reporting Services 2012. Power View enables quick and easy visualization of your data while allowing sharing and collaboration of business insights in a familiar SharePoint Server environment. Main Offering Power View Market Strategy Primarily targeting Microsoft Shops with lower cost BI reporting Market Presence Mega-Vendor with legacy of success Data Ingestion Method Extracts from Hadoop via ODBC Analytics Modeling N/A Data Visualization Ad-Hoc visualization experience for end-users Technical Architecture Microsoft based © Pactera. Confidential. All Rights Reserved. 8
Microsoft Big Data Visualization © Pactera. Confidential. All Rights Reserved. 9
Microsoft Big Data Visualization © Pactera. Confidential. All Rights Reserved. 10
The QlikView Business Discovery platform delivers true self-service BI that empowers business users with a Google like experience via in-memory technology. Positioned in upper quadrant in the Gartner Magic Quadrant. Main Offering In-Memory – Visual Analytics Market Strategy Departmental solutions but moving to enterprise Market Presence In-memory pioneer and now Business Discovery Gorilla Data Ingestion Method QV Scripting language much like VB and SQL Analytics Modeling On-par with Excel Data Visualization Very Good built-in with ability to customize Technical Architecture Microsoft – In-Memory © Pactera. Confidential. All Rights Reserved. 11
TIBCO has a huge family of products that can create a very powerful Visual Analytics environment that moves significantly beyond pretty pictures. TIBCO is one of the most enterprise ready visual analytic tools in the market with strong in-memory/direct to database, predictive analytics, geospatial, and collaboration functionality. Main Offering TIBCO Spotfire Market Strategy More sophisticated Visual Analytics and Data Science Needs Market Presence Mega-Vendor with legacy of success Data Ingestion Method Extracts from Hadoop via Advanced Data Services Analytics Modeling Strongest Visual analytics tool for Analytical modeling – R/SAS Data Visualization Drag and drop visual analytics Technical Architecture Microsoft based © Pactera. Confidential. All Rights Reserved. 12
Main Offering Interactive visualization for the Business User Market Strategy Efforts toward an Enterprise solution Market Presence Rated #1 for ease of use, strong customer base, large market share Data Ingestion Method ETL & direct query access (SQL & MDX) Analytics Modeling Release 8.1 will integrate with R Data Visualization Intuitive drag & drop experience with guided chart selection Technical Architecture Microsoft Windows, in-memory or direct query Tableau offers an intuitive, self- serve analysis experience for the business user. It also boasts among the lowest development and implementation times in the data discovery space. Located in the Leaders Quadrant on Gartner BI Magic Quadrant for 2013. © Pactera. Confidential. All Rights Reserved. 13
Platfora is a 100% Big Data solution. Platfora leverages Big Data technology with it’s own secret sauce of memory- centric technology. Interactive access to all the data in Hadoop without an additional data warehouse or ETL. Main Offering 100% Hadoop Visualization Tool Market Strategy Primarily targeting Big Data space Market Presence Newcomer, start-up with strong investor backing Data Ingestion Method Extracts from Hadoop into in-memory like solution. All main Big Data flavors Analytics Modeling Leverage Hadoop modeling Data Visualization Business User Visual Analytics tool Technical Architecture Linux based © Pactera. Confidential. All Rights Reserved. 14
Named in InformationWeek.com’s 13 Big Data Vendors to watch in 2013. Datameer providers customers the option to use the tool on their desktop, a server or Hadoop cluster depending on the breadth of their needs. A customer reports development time of 3 days for interactive reports that used to take 6-12 weeks with traditional OLAP tools. Main Offering Hadoop Big Data Analytics Market Strategy Self-serve, scalable analytics for Hadoop big data Market Presence Founded by Hadoop veterans in 2009 Data Ingestion Method Imports all raw data into Hadoop Analytics Modeling Includes over 200 analytic functions Data Visualization Free-form, drag and drop build, library of widgets Technical Architecture Linux & Solaris © Pactera. Confidential. All Rights Reserved. 15
The Splunk mission is simple: make machine data accessible, usable and valuable to everyone. Splunk is the leading platform for real-time operational intelligence with an impressive list of clients.. Main Offering Consolidation & reporting of machine data Market Strategy Real-time data analysis of log/machine data. Any large org. Market Presence Newcomer, start-up with strong investor backing Data Ingestion Method Reads any machine logs into Splunk repository Analytics Modeling Alerting + extensible via multiple languages Data Visualization GUI based tool to build visualizations + add-ons for specific industry or sources Technical Architecture Windows, Linux, Unix © Pactera. Confidential. All Rights Reserved. 16
Main Offering Embeddable reports and dashboards, Cloud analytics by the hour Market Strategy Enterprise focus with full BI suite Market Presence Large integration with OEM and SaaS provider software offerings Data Ingestion Method Native and ETL connectors for Hadoop, MongoDB, Cassandra and more Analytics Modeling OLAP, Open-source R Data Visualization Report designer, ad-hoc query Technical Architecture Cloud (i.e. AWS), In-memory Jaspersoft touts their offering as the “most widely used BI suite”. Comprehensive offering includes a reporting engine, visual report design environment, ad hoc reports, dashboards and in-memory analysis server, OLAP data analysis and an ETL engine. © Pactera. Confidential. All Rights Reserved. 17
Main Offering Alpine Labs Market Strategy Brings Data Science to business users Market Presence Niche Vendor specializing in predictive analytics Data Ingestion Method Pulls data from multiple sources and runs models in Hadoop. Analytics Modeling The entire product is predictive analytics for business users. Data Visualization Multiple visualizations methods Technical Architecture Client is Microsoft based – DB Backend supports multiple Alpine is a user-friendly, visual platform for integrating, exploring, modeling, and scoring data. It offers opportunities for collaborating on predictive analytics across the organization—regardless of technical skill. Alpine’s approach to predictive analytics seamlessly leverages the processing capabilities of your existing enterprise data platforms, including MPP databases and Hadoop. © Pactera. Confidential. All Rights Reserved. 18
Alpine Data – Sample Views © Pactera. Confidential. All Rights Reserved. 19
20 How Pactera Can Help Build Advanced Analytics © Pactera. Confidential. All Rights Reserved. POC (Complimentary) Getting Started Project Support Typically 6-8 weeks in duration Managed Services for your investment 1. Agree to POC Scope 2. Sign NDA 3. Send Data 4. Build POC 5. Present
Thank you © Pactera. Confidential. All Rights Reserved. Kurt Lueck Managing Director, Business Intelligence & Analytics Pactera Email: Kurt.Lueck@pactera.com Phone: 704.968.4061 Lauren Allen Senior Consultant, BI & Analytics Practice Email: Lauren.Allen@pactera.com