Creating a Big data Strategy with Tactics for Quick Implementation
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The document provides an overview of creating a big data strategy with quick implementation tactics. It discusses establishing centers of excellence, empowering users to access and analyze data, and transforming organizations to be data-driven. It also notes that only a small percentage of data is currently analyzed and highlights opportunities that additional analysis could provide through increased profits and insights.
Creating a Big data Strategy with Tactics for Quick Implementation
- 1. Creating a Big Data Strategy with Tactics for Quick Implementation Gregory Lewandowski @lewandog
- 2. Gregory Lewandowski (@lewandog) Chief Solutions Officer at Icimo (Data Kingpin) Icimo • Customers, Staff • Training • CoE’s (Center of Excellence) • Enterprise
- 3. Data Leadership Icimo helps organizations become data driven through a combination of software and services enabling data discovery, visualization, and analysis. “When you empower users to answer their own questions, you transform the user-data relationship.”
- 4. “Data is the new oil. Data is just like crude. It’s valuable, but if unrefined it cannot really be used” ~ Clive Humby
- 6. Big Data
- 7. Big Data Facts • Every 2 days, we create as much data as the world did from the beginning of creation through 2003. • The amount of data transferred over mobile networks increases by (guess) per month. • By 2020, we will have over 10 Billion Mobile Smart Devices will be in use. • Trillions of sensors will be in place by the year 2020 to monitor, track and communicate. • For a typical Fortune 1000 company, just a 10% increase in data accessibility will result in more than $65 million additional net income. • At the moment less than (guess) of all data is ever analyzed and used, just imagine the potential here.
- 8. 3V’s of Big Data (Gartner-DougLaney,2001) Volume Amount of Data Variety Range of Data Types Velocity Speed of Data In/Out
- 9. Big Data Reality Call it big data if you: • Run out of memory • Run out of storage • Run out of time • Have challenges moving it …And Require new skills, technologies or processing to aid in unlocking the value in the data.
- 10. Speaker Name OverallAverage Practical_KnowledgeAverage ReleventAverage BarriersAverage DifficultyAverage #Sessions Sample Speaker 4.43 4.35 4.37 4.12 3.32 6 Sample Speaker 4.70 4.64 4.51 4.42 3.35 2 Sample Speaker 4.57 4.43 4.50 4.31 3.32 2 Sample Speaker 4.29 4.15 4.26 3.89 3.40 2 Sample Speaker 4.10 4.15 4.26 3.89 3.40 2 Sample Speaker 4.11 4.15 4.26 3.89 3.40 2 Sample Speaker 4.47 4.34 4.48 4.11 3.33 4 Sample Speaker 4.54 4.46 4.47 4.24 3.49 4 Sample Speaker 4.20 3.99 4.19 3.82 3.34 2 Sample Speaker 4.81 4.76 4.73 4.53 3.41 8 Sample Speaker 4.54 4.46 4.36 4.20 3.34 2 Sample Speaker 4.62 4.45 4.58 4.32 3.70 1 Sample Speaker 4.41 4.23 4.35 4.15 3.33 2 Sample Speaker 4.62 4.39 4.21 4.31 3.28 5 Big Data Reality 2009 - Hyatt Regency Washington, DC Wed Thurs Fri Sat Sun Mon Tue Mon Tues Wed Total P/U % Date 8-Jul 9-Jul 10-Jul 11-Jul 12-Jul 13-Jul 14-Jul 15-Jul Block 0 0 0 0 40 50 40 130 92% P/U 1 1 4 12 30 48 22 1 119 Attrition Set At: 80% Attrition Fee's paid: $0 Room Rate: $xxx Room Revenue $xx,xxx F/B (excluding T/G) F/B (including T/G) $xx,xxx Number of Attendees: 115 Comments: Month Division v0 Campaigns v0 Tactic Type v0 Tactic v0 March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Offline Fax March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Offline Direct mail March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Comp Review Prep 2012 Online Email March 2012Continuing Education Review Express 2012 Email March 2012Continuing Education Comp Review Prep 2012 Offline Direct mail March 2012Continuing Education Review Express 2011 P&S March 2012Continuing Education 2012 CME Portfolio Email March 2012Continuing Education 2012 CME Portfolio Email
- 13. 1983 – The World Changed
- 14. 1983 - The World Changed • Net new category of tools which made it easier for those who know the data to work with it… • Validation / catalyst of the personal computer • Led to Excel, the most widely used BI tool in the world • Forced changes in roles, processes and people • Characteristics • Simple • Fast • Less coding
- 15. Today - The World Changed (Again) • Net new category of tools which makes it easier for those who know the data to work with it… • Forced changes in roles, processes and people • Disrupting traditional BI • Characteristics • Simple • Fast • Less coding more canvas • Instant feedback
- 16. New Category of BI Tools • Tableau • Qlik • Spotfire • MS Power BI • Knime • RapidMiner • Alteryx
- 17. Opinion-Based Data-Driven Experience People Time Want Can 8% Speed to Opinion (Weeks/Months) Conventional Self-Reliant Speed to Insight (Seconds/Minutes) Want Can 80% Report Factory App
- 18. Take Advantage of the New Tools If you don’t, somebody else will… Data discovery tools have crushed the top-down camp’s monopoly of BI. ~ Wayne Eckerson
- 20. The Concept is Simple
- 21. So Why This? 2012 2011 2010 Weeks Out Report Date Members* Other Professionals Guests/Others Total Attendees %toPlan Members* Other Professionals Guests/Others Total Attendees Members* Other Professionals Guests/Others Total Attendees 20 06/01/12 687 24 622 1,333 16% 504 16 578 1,098 597 12 551 1,160 19 06/08/12 762 30 681 1,473 18% 526 18 595 1,139 651 14 592 1,257 18 06/15/12 846 32 738 1,616 19% 575 22 643 1,240 709 18 621 1,348 17 06/22/12 938 34 798 1,770 22% 676 23 759 1,458 782 20 683 1,485 16 06/29/12 1,052 34 857 1,943 24% 740 28 825 1,593 857 26 735 1,618 15 07/06/12 1,154 35 912 2,101 27% 800 30 885 1,715 970 30 811 1,811 14 07/13/12 1,243 37 981 2,261 29% 879 35 952 1,866 1,048 35 850 1,933 13 07/20/12 1,433 45 1,068 2,546 33% 976 38 1,044 2,058 1,169 44 913 2,126 12 07/27/12 1,698 48 1,227 2,973 39% 1,102 46 1,143 2,291 1,305 47 987 2,339 11 08/03/12 2,007 50 1,450 3,507 46% 1,247 52 1,251 2,550 1,449 48 1,075 2,572 10 08/10/12 2,196 54 1,600 3,850 51% 1,409 63 1,431 2,903 1,722 51 1,205 2,978 9 08/17/12 2,415 70 1,735 4,220 56% 1,725 75 1,692 3,492 2,010 63 1,360 3,433 8 08/24/12 2,650 78 1,862 4,590 61% 2,066 86 1,965 4,117 2,253 72 1,508 3,833 7 08/31/12 2,911 85 1,991 4,987 67% 2,331 94 2,143 4,568 2,502 79 1,670 4,251 6 09/07/12 3,292 105 2,297 5,694 76% 2,719 113 2,588 5,420 2,855 91 2,033 4,979 5 09/14/12 4,053 160 2,811 7,024 93% 3,583 155 3,249 6,987 3,675 136 2,443 6,254
- 22. Instead of This?
- 23. Why This…?
- 25. Storytelling Story (noun) is defined as _“An account of imaginary or real people and events told for entertainment.” Important Detail Character Plot Conflict Climax Perspective
- 26. Stories
- 27. Keys to Success • Move Fast • Use the tools which will get you tangible results quickly • Reward ingenuity • Deliver Visual Analysis, Not Just Reports • Get some training • Make your work useful • Make it personal / customized • Empower your audience • Don’t swing for the fences every time
- 28. “If the rate of change on the outside exceeds the rate of change on the inside, the end is near.” ~ Jack Welch
- 29. Enjoy the Ride!!
- 30. Data+Women • Identify and talk about issues unique to women in the data industry. • Meet regularly to foster frank discussion on topics that are otherwise hard to broach. • Build a community that empowers women in the data industry • Rally around initiatives for further education, training, and partnership, perhaps even impacting the greater good for women using their analytical talents. LinkedIn: data+women+triangle Anna Kirkland Smith
Editor's Notes
- #4: Combination of CIO and CMO Our CEO came from a world where the better solution for the customer lost because it did not produce the same number of billable hours. He rejected this and left to start a company which mimicked his values and beliefs. Icimo was born out of this frustration…
- #8: 81% 857M$ .5% to 12%
- #14: Sold hand over fist…Ingram Micro
- #15: Changes in Roles, processes and people The priesthood of technical wizardry became an enabler instead of the center of the universe for data Projects which took years, now took months or weeks …and people who tried to hold onto the past found that their resumes needed work Productivity skyrocketed, entire organizations disappeared…buildings full of old school book-keepers and accountants became small teams, or even a single individual People hired for brand new skills Validation of PC 1st blockbuster commercially available piece of the SW for the PC
- #16: Well, it has happened again Workflows have changed New tools inspire creativity, different perspectives, and instant feedback
- #24: 1 of y passions, and critically important to any type of differentiated success is DataViz skills Your data producers need to be able to understand the difference between garbage, and brilliance.
- #25: This is a version of the famous 1850’s, London, Cholera map, created by Dr John Snow to measure the geographic location and magnitude of Cholera deaths. His research, and this map ultimately led to the source, which was the Broad St well, his conviction caused the London govt to remove the handle from the well, saving potentially thousands of lives. It also led to the beginning of humanity’s knowledge and beliefs about the varying sources of illness. Until Dr Snow, it was widely believed that Cholera was airborne. This is the map that changed the world…and led to significant advances in the field of epedemiology Intuitive (simplicity – easy is hard <<Lincoln – “If I had more time, I would have written you a shorter letter”), interactive and immersive…