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Huntel global webinar aligning data talent with your analytics needs
The document is a presentation by Wayne Hinds of Huntel Global about aligning data talent with analytics needs. It discusses where organizations are along the analytics continuum from descriptive to predictive analytics. It addresses common challenges organizations face with data and talent, and provides considerations for developing an analytics plan and identifying metrics and questions to guide analysis. The presentation also covers common analytics roles, qualities of strong analytics talent, and tools data scientists typically use. Huntel Global is introduced as a firm that helps clients find the right talent for analytics and related fields, and special offers are provided to attendees.
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Huntel global webinar aligning data talent with your analytics needs
- 1. ALIGNING DATA TALENT WITHYOUR ANALYTICS NEEDS Present by: Wayne Hinds Principal Consultant – Analytics Huntel Global Wayne.Hinds@huntelglobal.com August 12, 2015
- 2. huntelglobal.com • Where areyou along the analytics continuum? • Do you have a plan to getting the most out of your mountain of data? • Do you know what questions you want answered and what metrics will drive the answers? • Have you ever had trouble with finding the right talent for your data analytics objective or initiative? • Where do you go for help? • Special offer & give-away. AGENDA
- 3. huntelglobal.com Where are youAlong the Analytics Continuum? Look Back Look Across Look Forward Descriptive Analytics Diagnostic Analytics Data Exploration Discovery Analytics Predictive Analytics Prescriptive Analytics What has happened? Why did it happen? What new opportuniti es exist? What process can be improved? What is likely to happen? What Should I do about it? What is happening right now? Yesterday Today Future
- 4. huntelglobal.com • World isdrowning in data (Teradata & Petabyte in volume) • Growing shortage of analytics professionals (see Gartner 2012 report - Gartner Says Big Data Creates Big Jobs) • Multiple data sources: Centralize repository • Varying types of data (legacy, machine learning, structured, unstructured etc.) • The Cloud and security concerns • Process and ROI of valuable / intangible asset Some Current Data Challenges:
- 5. Do you havea plan for getting the most out of your mountain of data?
- 6. huntelglobal.com • What isthe pressing business issue? • What are the metrics and KPI that measures the issue(s)? • The Data (what, where, type, etc.), • The Tools (for database, for visualization, etc.) and • The Process for insights into action • Finding the right talent Here Are Some Considerations
- 7. huntelglobal.com • Review currentdata • Sources and location • Access to data • Quality and accuracy (validation) • Cleaning and Aligning data ** • Use appropriate Visualization tool(s) • Plan for periodic updates (monthly / quarterly / annual) Additional Considerations
- 8. Do you knowwhat questions you want answered and what metrics will drive the answers?
- 9. huntelglobal.com • What areas/ segments are underperforming and why? (ie. Market Analytics) • What are the low performers and why? (BU, products, talent) • Who and what are my high performers? • Who are my most loyal customers? (ie. Customer Loyalty and Insights) • Where are my customers coming from? • What are my cost drivers (ie. resource, talent, etc)? • What is causing regrettable turnovers? (ie. HR analytics) Examples of the kinds of questions
- 10. Have you everhad trouble with finding the right talent for your data analytics objective or initiative?
- 11. huntelglobal.com • Most newrecruits come from “traditional” background; data analysis – statistics, mathematics, computer science, etc. • Identifying a unicorn (hard to find): • great at data and • communicating with people, and • expert in your’s company’s industry • Experienced with the right tools • Matching experience level with the required role Some Common Problems include
- 12. huntelglobal.com • CAO (ChiefAnalytics Officer) • Insights Director • Data Scientist • Predictive modellers • Data mining experts • Statisticians • Analyst (Analytics, Marketing HR, DS, BI, etc.) Common Analytics Roles / Occupations
- 13. Top 5 Thingsto Look for in Analytics Talent
- 14. huntelglobal.com 1. People wholove data (slice and dice it) 2. Able to communicate effectively with people and good presentation skills. 3. Knowledge and experienced 4. A working knowledge of the most commonly used programming languages for analyzing large digital datasets 5. Insight competence Analytics Talent
- 15. The Most SoughtAfter Analytics Role – Data Scientist
- 16. huntelglobal.com Data Scientist Two Typesof Data Scientists: Which is Right for Your Needs? 1 ) Analytics for Humans 2) Analytics for Machines
- 17. huntelglobal.com Data Scientist 1 )Analytics for Humans • Another human is the final decision maker and consumer of the analysis • Must be comfortable coming to higher-level conclusions – the “why” and “how” • Telling a story from the data
- 18. huntelglobal.com Data Scientist 2) Analyticsfor Machines • The final decision maker and consumer of the analysis is a computer • Creating computer algorithms and models • Their digital models are established and then act on their own • automatically trade in the stock market • Decide ads to display for online content/advertising targeting, or • Personalized product recommendations • must have remarkably strong mathematical, computational, and statistical skills and data modelling • So that systems can make quality predictions quickly.
- 19. huntelglobal.com Data Scientist Talent shouldbe experienced with following tools; • SAS / SPSS (statistical analysis) • Python & R programming languages (open source) for statistical computing • Apache Hadoop for database (open-source) • Web Analytics (Adobe Catalyst; formerly Ominture), CoreMetrics, comScore, Web Trends, and Google Analytics • Social media analytics (Facebook Insights, Sysomos, Wildfire) • Mathematical Statistics • Data Analysis Algorithms/Methods (Machine Learning) • Visualization tools (ie. Tableau, Qlix, etc. )
- 20. huntelglobal.com In Summary • Analyticsis about using data • To make better business decisions • To guide your business along the continuum; descriptive to predicative to prescriptive • Work with one business issue at a time • Understand what data you have, you need, the metrics and the tools and resources that go with that • Align the data to the business issue • Finding the right talent(s) is of the utmost importance • Determine the skills and experience needed • What level or role they will contribute to the business • Drive insights into action
- 21. Where do yougo for help?
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- 23. Huntel Global isa boutique recruitment and consultancy firm. We Specialize in finding right Talent for: • Corporate Performance Management (CPM) • Data Warehousing (DW) • Business Intelligence (BI) • Analytics • ETL • And more As specialists, we understand the complexity of these sectors and apply a creative and dynamic approach to our business. We have hosted a number of Analytics events, networking with Analytics professionals across the globe and act as advisors to our clients and candidates within this niche discipline.
- 24. Bell Canada Rogers Communications TransUnion Indigo ANZ Bank HSBC Scholastics Canada Points.com Sample Clients
- 25. huntelglobal.com Special Offers 1) Drawnfor FREE P3: Personality Assessment (Analytical tool) 2) HR Analytics training - September 16 & 17, 2015 • Join Drake International (parent company to Huntel global) for two day training on HR Analytics • Exclusive to you - $500 discount • Use Promo Code: HUNTEL500 www.hranalyticstraining.eventbrite.ca
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- 27. ALIGNING DATA TALENT WITHYOUR ANALYTICS NEEDS Present by: Wayne Hinds Principal Consultant – Analytics Huntel Global Wayne.Hinds@huntelglobal.com August 12, 2015
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