Your SlideShare is downloading. ×

A Strategic View of Enterprise Reporting and Analytics: The Data Funnel

1,657

Published on

The Briefing Room with Colin White and Jaspersoft …

The Briefing Room with Colin White and Jaspersoft

Slides from the Live Webcast on June 12, 2012

As the corporate appetite for analytics and reporting grows, companies must find a way to secure a strategic view of their information architecture. End users with varying degrees of expertise need a wide range of data and reports delivered in a timely fashion. As the audience for analytics expands, that puts pressure on IT infrastructure and staff. And now with the promise of Hadoop and MapReduce, the organization's desire for business insight becomes even more significant.

In this episode of The Briefing Room, veteran Analyst Colin White of BI Research will explain the value of being strategic with enterprise reporting. White will be briefed by Karl Van den Bergh of Jaspersoft, who will tout his company's “data funnel” concept, which is designed to strategically manage an organization's information architecture. By aligning information assets along this funnel, IT can effectively address the spectrum of analytical needs – from simple reporting to complex, ad hoc analysis – without over-taxing personnel and system resources.

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,657
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
28
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Eric.kavanagh@bloorgroup.comTwitter Tag: #briefr
  • 2. !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers!Twitter Tag: #briefr
  • 3. !   June: Intelligence !   July: Disruption !   August: Analytics !   September: Integration !   October: Database !   November: CloudTwitter Tag: #briefr
  • 4. !   Business Intelligence technologies are designed to let organizations take all their capabilities and convert them into knowledge, ultimately getting the the right information to the right people at the right time. !   BI tools are not just for business analysts these days. More people want access to more data, and that data tends to come from increasingly disparate sources. !   Everyone within an organization – from the analyst to the business user – needs to have access to all the data, from any source, on any device.Twitter Tag: #briefr
  • 5. Analyst: Colin White Colin White is the president of DataBase Associates Inc. and founder of BI Research. As an analyst, educator and writer he is well known for his in-depth knowledge of data management, information integration, and business intelligence technologies and how they can be used for building the smart and agile business. With many years of IT experience, he has consulted for dozens of companies throughout the world and is a frequent speaker at leading IT events. Colin has written numerous articles and papers, and for ten years he was the conference chair of the DCI and Shared Insights Portals, Content Management, and Collaboration conference.Twitter Tag: #briefr
  • 6. !   Delivers a scalable, cost-effective, self-service business intelligence suite !   Offers a commercial open source business model !   Built for Cloud, Mobile and Big Data environments !   Has a large developer communityTwitter Tag: #briefr
  • 7. Karl Van den Bergh is the Vice President of Product and Alliances at Jaspersoft. Karl is a seasoned executive with 18 years experience in software, hardware, open source and SaaS businesses, both startup and established. Prior to Jaspersoft, Karl was the VP of Marketing and Alliances at Kickfire (now part of Teradata), a venture-funded data warehouse appliance startup. He also spent seven years at Business Objects, where he held progressively senior leadership positions in product marketing, product management, corporate development and strategy. Karl started his career as a software engineer.Twitter Tag: #briefr
  • 8. Getting to Pervasive BI through Changes in the Data FunnelKarl Van den Bergh, Vice President Product & Alliances
  • 9. The Promise of Business IntelligenceThe Promise +The Reality “…within Industry Average Companies, 25% use a BI Solution”©2012 Jaspersoft Corporation. Proprietary and Confidential 10
  • 10. A Big Market and Growing “Analytics software market is on tap to hit $33.9B in 2012, up 8.2% from 2011.” 2012 Analytics Software Tracker “Analytics and Business Intelligence will be the top technology priorities for CIOs in 2012.” 2012 Global Survey of 2300 CIOs©2012 Jaspersoft Corporation. Proprietary and Confidential 11
  • 11. The Problem with BI Today Business Users Can’t Self-Serve §  Too complex, not accessible or contextualBI Builders Can’t Scale §  Particularly in the New IT World©2012 Jaspersoft Corporation. Proprietary and Confidential 12
  • 12. The New IT World“Tectonic shifts are occurring in today’s enterprise ITenvironment, powered by mega-forces such asglobalization and commoditization – and also driven byconsumer technologies.” - Geoffrey Moore, 2010§  New user requirements: Consumerization §  Enterprise consumers want apps that are beautiful, interactive, contextual§  New technology requirements: Cloud §  There is a new IT stack that is centered on the Cloud, managing Big Data§  New business requirements: Cost §  Top considerations for any new project are cost and time-to-value©2012 Jaspersoft Corporation. Proprietary and Confidential 13
  • 13. Solution: Self-Service BI at SCALE All Users SCALE All Questions All Infrastructure Platform Self-Service Vendors BI at SCALE SELF-SERVICE Any User Any Device Niche Visualization Any Context Vendors Vendors©2012 Jaspersoft Corporation. Proprietary and Confidential 14
  • 14. The Data Funnel Today Traditional Data Funnel Data Production What About •  Small Scale, Structured Data Scale? •  On-premises Developer Data Manipulation •  RDBMS •  ETL & SQLData Architect Data Analysis •  OLAP & Metadata •  Pivot Tables & MDXData Analyst Data Viewing •  Static Reports & Dashboards •  Desktop & Browser Casual User ©2010 Jaspersoft Corporation. Proprietary and Confidential 15
  • 15. The Data Funnel for Pervasive BI New Data Funnel Data Production •  Large Scale, Structured, Multi-structured Data •  On-premises & Cloud Developer Data Manipulation •  RDBMS, ADBMS, Hadoop, NoSQL •  ETL, SQL, ScriptingData Architect Data Analysis •  OLAP & Metadata What About •  Pivot Tables & MDX Self-Service?Data Analyst Data Viewing •  Static Reports & Dashboards •  Desktop & Browser Casual User ©2010 Jaspersoft Corporation. Proprietary and Confidential 16
  • 16. The Data Funnel for Pervasive BI New Data Funnel Data Production •  Large Scale, Structured, Multi-structured Data •  On-premises & Cloud Developer Data Manipulation •  RDBMS, ADBMS, Hadoop, NoSQL •  ETL, SQL, ScriptingData Architect Data Analysis •  OLAP, Metadata & In-Memory •  Pivot tables, MDX & VisualizationsData Analyst Data Viewing •  Interactive, Contextual Reports & Dashboards •  Desktop, Browser & Mobile Devices Casual User ©2010 Jaspersoft Corporation. Proprietary and Confidential 17
  • 17. Example of Self-Service BI for All Users ANY USER ANY DEVICE ANY CONTEXT©2012 Jaspersoft Corporation. Proprietary and Confidential 18
  • 18. Scalable on the New IT Stack SCALE IN CLOUD SCALE FOR BIG DATA SCALE ON MOBILE©2012 Jaspersoft Corporation. Proprietary and Confidential 19
  • 19. Deployed by 10,000s of Organizations16M Downloads (3K/day). 275K Community. 175K Deployments. 15K Customers. Software & Technology Public Sector Healthcare/Pharmaceu-cal Travel & Transportation Financial Services Telecommunications Retail/CPG©2012 Jaspersoft Corporation. Proprietary and Confidential 20
  • 20. Fast Growing with Strong Recognition Accelerated Year-over-Year Growth Broad Industry Recognition Magic QuadrantsQ1-09 Q2-09 Q3-09 Q4-09 Q1-10 Q2-10 Q3-10 Q4-10 Q1-11 Q2-11 Q3-11 Q4-11 Q1-12 ©2012 Jaspersoft Corporation. Proprietary and Confidential 21
  • 21. A New Data Funnel for Pervasive BI§  Scaling true self-service BI will lead to pervasive BI §  SCALE: all users, all questions, all infrastructure §  SELF-SERVICE: any user, any device, any context§  Scale requires data funnel changes §  Large data volumes of multi-structured data §  Scale-out deployments §  Scale-out data stores §  Programmatic data manipulation§  Self-service requires data funnel changes §  In-memory for fast response times §  Visualizations for easier understanding §  Interactivity and context for the 80% §  Mobile enablement for ubiquitous access©2010 Jaspersoft Corporation. Proprietary and Confidential 22
  • 22. THANK YOU!
  • 23. Twitter Tag: #briefr
  • 24. A Strategic View of Enterprise BI! Colin White
 President, BI Research
 Bloor Briefing Room with Jaspersoft
 June 2012"
  • 25. Where Are We Today?Huge data growthIncreasing number of data typesand sourcesExtreme analytic workloadsLimited user self-serviceIncreasing tool complexityRestricted IT budgetsDynamic business environment Copyright © BI Research, 2012 26
  • 26. Marketplace Directions Next Generation Solutions •  Big data •  Advanced (smart) analytics •  Analytic RDBMSs & non-relational systems Reduce Costs •  Optimized systems •  Hardware exploitation •  Appliances Faster Time to Value •  Self-service BI •  Cloud computing •  Agile BI/DW development Copyright © BI Research, 2012 27
  • 27. Extending the Enterprise Data Warehouse Traditional EDW environment Workgroup Analytic applications applications Dependent Non- data mart Analytic relational or cube RDBMS system Workgroup data systems Investigative & built for purpose systems Enterprise DW Operational structured Master Internal/external data systems data multi-structured data systems Stream processing & Operational embedded BI solutions applications Transactions Embedded analytic filtered services data Analytic Streaming/ applications CEP engine Data streamsCopyright © BI Research 23
  • 28. Connecting the Pieces: Information Supply Chain data
 workgroup
 warehouse data operational
 Analyze systems Publish other data
 systems Copyright © BI Research, 2012 29
  • 29. Faster Time to Value: Self-Service BI Make it easy
 Make a DW
 Make BI tools
 Make BI results to access data
 fast to deploy &
 easy to use easy to consume & for analysis easy to manage enhance Discover
 Integrate
 Analyze Discover
 Access Manage Publish Collaborate Data
 Appliances Easy BI
 Easy UI
 virtualization Cloud computing (data mashups (office integration Big data (private & public)
 customizable widgets
 business glossary
 connectors easy mining
 data lineage
 analytic functions
 actionable BI) advanced visualization
 Mobile BI data sandbox
 investigative data store) Collaborative BI Copyright © BI Research, 2012 30
  • 30. Choosing the Right Solution is Important to SuccessMultiple data systems Multiple analytic techniques Multiple formats Operational
 structured
 data Historical
 DW data Data
 Data
 Data
 Data
 Multi- integration management analysis delivery structured
 data Web
 servicesIncreasing volume Multiple deployment models Multiple devices Copyright © BI Research, 2012 22 22
  • 31. •  On the big data topic can you explain how Jaspersoft connects to systems such as Hadoop? •  There is a lot of hype about big data – are your customers using multi-structured data for analysis? If so, for what type of applications? •  What about accessing both structured and multi-structured data using data virtualization – aren’t there performance issues here? Can in-memory processing help? •  Are your customers using both analytic RDBMS and Hadoop systems? If so, for what types of applications? •  What about deployment in the cloud? Any use cases you can talk about here?Twitter Tag: #briefr
  • 32. •  What features are users looking for to make BI tools easier to use - are capabilities such as BI widgets, data and presentation mashups, and portal support important here? •  One of the main objectives here is an easier to use interface. What is required to achieve this? •  What about new data visualization approaches? •  Are mobile BI and collaborative BI key directions?Twitter Tag: #briefr
  • 33. !   June: Intelligence !   July: Disruption !   August: Analytics !   September: Integration !   October: Database !   November: CloudTwitter Tag: #briefr

×