[Webinar] Top Strategies for Successful Big Data Projects
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The document outlines key strategies for ensuring the success of big data projects, highlighting that 44% are cancelled and many fail to meet objectives. It identifies common reasons for project failures, including inaccurate scope and lack of expertise, and proposes seven strategies to overcome these challenges. The strategies emphasize defining problems, aligning business goals with technology, managing complexity, and embracing a cross-organizational approach to drive business value.
[Webinar] Top Strategies for Successful Big Data Projects
- 1. #bdsuccess top strategies for successful big data projects Tim Gasper Product Manager Infochimps, Inc. Request a Demo
- 2. #bdsuccess #1 big data platform for the cloud some of our customers our partners Request a Demo
- 3. #bdsuccess big data data science big data application development big data business intelligence Request a Demo
- 4. #bdsuccess agenda • why you care about big data • too many big data projects fail • 7 strategies for success • q&a Request a Demo
- 5. #bdsuccess poll Request a Demo
- 6. #bdsuccess BIG DATA • volume • scalable • velocity • intelligent • variety • agnostic • variability • holistic • veracity Request a Demo
- 7. #bdsuccess use cases oldies but goodies new school • website and systems • brand and sentiment analysis log analysis • targeted marketing and • large scale transaction personalization analysis • customer insights / behavior • trade performance • big data business intelligence analytics • predictive modeling • risk analysis and fraud • intelligent systems detection • large-scale data mining and • geo/spatial analysis cleansing Request a Demo
- 8. #bdsuccess 44% of big data projects are cancelled versus 25% for IT projects in general and many more fail to achieve project objectives Infochimps/SSWUG Enterprise Big Data Survey 2012 Dynamic Markets Enterprise IT Survey 2008 Request a Demo
- 9. #bdsuccess poll Request a Demo
- 10. #bdsuccess why do projects fail? • business • inaccurate scope • not enough time / deadlines busted • non-cooperation between departments • having the right talent / lack of expertise • technical • technical or roll-out roadblocks • gathering data from different sources • finding and understanding tools, platforms, technologies Request a Demo
- 11. #bdsuccess how do I prevent failure? mapping common challenges to 7 simple strategies for big data project success Request a Demo
- 12. #bdsuccess define the problem • what are your business goals • identify the greatest opportunities and challenges • eat a frog Request a Demo
- 13. #bdsuccess think BIG and be SPECIFIC • what big goal are you tackling • don’t waste your time • is it specific enough • is there a project • you can’t eat an elephant in one bite • get to something you can measure • set your priorities Request a Demo
- 14. #bdsuccess identifying projects • new business initiatives • enhancements to current operations, systems, and processes • replacements for legacy operations, systems and processes Request a Demo
- 15. #bdsuccess map priorities to technologies • business value technology • think high-level because the tech is changing rapidly • impala vs hive vs hadapt vs vertica vs … • batch vs real-time • proprietary vs open • DIY vs IaaS vs PaaS vs SaaS Request a Demo
- 16. #bdsuccess poll Request a Demo
- 17. #bdsuccess hit the ground running • avoid analysis paralysis • take a phased approach • test and iterate as you go • you’ve done your homework, you have your compass • know what to do with the data Request a Demo
- 18. #bdsuccess manage scope creep • manage requirements and expectations • manage complexity • manage people creep • manage technology creep Request a Demo
- 19. #bdsuccess embrace the cross-organizational nature of big data • who are your initial users • who else can benefit • other departments • other use cases • other data sources, systems, and tools • what are the next steps Request a Demo
- 20. #bdsuccess drive business value • don’t be driven by technology, be driven by business needs • what is the point of big data • NOT a cost center • time to business value • speed to insight • data driven decisions • go FAST and do AWESOME Request a Demo
- 21. #bdsuccess Request a Demo
- 22. #bdsuccess Let’s discuss your big data projects and ideas. infochimps.com/free-big-data-consultation sales@infochimps.com follow us: @infochimps Request a Demo