BDW Chicago 2016 - John K. Thompson, GM for Advanced Analytics Dell Statistica - Empowering Citizen Data Scientists with Collective Intelligence
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It’s no secret that there’s a shortage of traditional scientists. They’re hard to find, and even harder to afford when you do find them. And even if you can, you’ll still never feel like you have enough of them. That’s why the rise of the citizen data scientist is so critical to the ongoing analytics revolution. These non-technical but supremely ambitious line of business employees represent the future of analytics. Now, and for the foreseeable future, citizen data scientists will be the driving force behind the use of analytics to drive innovation. Empowering them with the right tools is thus paramount to the long-term success of analytics. Enter collective intelligence. In a world where empowering the citizen data scientist is paramount, collective intelligence holds the key. In this in-depth session, John K. Thompson, GM, Dell Statistica, will examine the concept of collective intelligence as it relates to analytics, and explain how organizations lacking the skills to build the right analytical models themselves can now leverage the work of those who do have the necessary skills – all without having to hire those experts directly.
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BDW Chicago 2016 - John K. Thompson, GM for Advanced Analytics Dell Statistica - Empowering Citizen Data Scientists with Collective Intelligence
- 1. 1 Empowering Citizen Data Scientists with Collective Intelligence John K Thompson | GM of Advanced Analytics | @johnkthompson60
- 2. By 2018 more than half of large organizations around the globe will compete using Advanced Analytics and proprietary algorithms, causing disruption on a grand scale. Source: Gartner, Inc., Magic Quadrant for Advanced Analytics Platforms, Lisa Kart, Gareth Herschel, Alexander Linden, Jim Hare, 9 February 2016. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
- 3. 3 How many people keep reinventing the wheel? How does work get done in your organization? Image Source: IBM/Vermont Historical Society
- 4. 4 Democratizes Analytics to the Entire Organization Data scientists Use the global community for analytic modules Build advanced analytic flows once; reuse and share Empowered with in- database processing Citizen data scientists Automated data preparation Wizards and templates with reusable configurations No knowledge of SQL or databases required Line of business users Embed analytics in LOB apps Recipes & Quick Starts CI driven by shortage of expertise, thus a greater need for democratization and decentralization
- 5. 5 How can we enable reuse and automation?
- 6. 6 Distribute analytic output to LOB users Network (Entity) Analytics Airport Predictive Maintenance Dashboard Real-time streaming Process Flow Visualization
- 7. 7 Make Data Prep Easy the Citizen Data Scientist Wizards & Templates • Wizards for data acquisition with reusable data acquisition templates Automated data preparation • Data Health Check node with built-in smarts Structured & unstructured data access • Access and analyze both structured & unstructured data
- 8. 8 Enable Reuse for Citizen Data Scientists Reduce Redundancy • Data Scientists build data prep & advanced analytic flows once Enable Business Users • Citizen Data Scientists can reuse templates Increase Efficiency • Reduces redundancy and allows business users to efficiently solve business problems Ease of Use • Simplify advanced analytic workflows Data Prep Workflow Modeling Workflow Reusable Templates
- 9. 9 Expand Capability with Global Talent R Integration • Easily bring in any R package as a node • Add your favorites to the ribbon Python Scripting • Ability to script in Python within Statistica • Add your favorites to the ribbon Analytic Marketplaces • Use specialized algorithms Reuse • Store and reuse your IP (scripts)
- 10. 10 Promote and Distribute Best Practices Distribute & share analytics across the world Take your math to where the data lives Avoid duplicate infrastructure Site 1 Tulsa, OK Site 3 Sao Paolo, Brazil Site 4 California Site 2 Taiwan Analytics Platform
- 11. 11 Eliminate Unnecessary Data Movement Transport Date/Time Trans type Velocity Trigger Public or Private Cloud Statistica Analytic Workflow Atom Export Models as: Java, PMML, C, C++, SQL Oracle Hadoop Hive on Spark Teradata In-Database Analytics
- 12. 12 Democratizing Analytics Analytics for the Unbanked With a goal of reaching 250 million of their emerging market users by 2020, Telenor, one of the world’s largest telecom providers, is disrupting the financial industry by bringing banking to the unbanked through the use of Dell Statistica and mobile phones. Validated Analytics for FDA In an industry where new medicines cost billions to produce, through the use of Dell Statistica, Genzyme has succeeded in building innovative manufacturing methods within the heavily regulated pharmaceuticals industry and is bringing medicines to patients in need. Enabling the Citizen Data Scientist With a shortage of Data Scientists, Cisco has created a Center of Excellence to address a wide variety of projects across different business units. The Team has a mixture of skill sets and through reusable templates, consistent workflows, and automation, they have taken the time required to do an analytics POC down from months to a single day.
- 13. 13 Statistica empowers the spectrum of advanced analytics users; the Line of Business User, Citizen Data Scientist and the Programmer Data Scientist Statistica addresses some of the broadest set of analytic use cases including IoT Edge Analytics. Statistica is a complete, easy-to-use, scalable, and affordable predictive analytics platform that enables Collective Intelligence. Key Takeaways
- 14. Embed Analytics Everywhere Questions? John K Thompson | GM of Advanced Analytics | @johnkthompson60 dell.com/statistica
Editor's Notes
- IBM Essex Junction Image: http://digital.vpr.net/post/ibm-vermont-history-pictures#stream/0
- The picture above is a representation of an analytic workflow. Includes Python. Algorithmia or any other, can be embedded in a reuseable template.