Should HR Care About Big Data? E D COHEN, L E A R NING I NDUSTRY CONSULTA NT

Transcription

1 Should HR Care About Big Data? E D COHEN, L E A R NING I NDUSTRY CONSULTA NT

2 Tweeting? Please mention: #BigData (800) or (805)

3 For More Info / To Register / To Access Archive: Search Webinars or On Demand at TrainingIndustry.com

4 About the Presenter Ed Cohen, Learning Industry Consultant

5 What is Big Data?

6 Big Data is not: Just big reports Large databases Really big numbers Something new

7 Big Data Big data is a blanket term for any collection of data sets so large and complex that is becomes difficult to process using on-hand database management tools or traditional data processing applications. Wikipedia definition

8 Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big Data Large Company Definition Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills.

9 Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis. Big Data Forbes 8/15/2013

10 Big Data Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis. Plus For many companies it can answer why something is happening.

11 A. Training / Learning B. Talent management C. Workforce management Poll What Big Data use do you currently have in mind for your company? D. Other

12 Where Big Data Comes From? Internet XML Business Data BIG DATA

13 Driving Training with Data

14 Data in Training How do we determine who needs to be trained on what? How do we determine if the training was successful? What do we do with the training results? How do we measure the impact on the business? Big Data can help us answer these questions, not just report on them.

15 Airline Example Training manager looked at the top 10 reasons for flight cancelations. Determined which problems could be solved through training.

16 Airline Example Created a course designed to address the specific deficiencies which contributed to the problem Delivered the content to a control group Monitored the number of flight cancelations over the next 90 days of planes with maintenance provided by the newly trained employees

17 Training Cycle Monitor trained employees vs non-trained employees Top 10 reasons for flight cancelations Deliver training Individuals who performed failed maintenance procedure Create training to new objectives Identify training objectives

18 Training Cycle Monitor trained employees vs non-trained employees Top 10 reasons for flight cancelations Plane data Maintenance Records Deliver training Individuals who performed failed maintenance procedure Employee Training Data Create training to new objectives Identify training objectives

19 Airline Example Outcome The Training Manager was able to demonstrate that the additional training provided to the mechanics took the number of flight cancelations from the top 10 list and moved them outside of the top 100. The training manager used a solution that helped manage the process and ensure the new training was not only being delivered, but being followed. This resulted in millions of dollars being saved.

20 Traditional Data This example was almost Big Data. However it was all done using traditional reporting and BI data. To be continued

21 What Data is the Right Data? Training data often is either incorrect or irrelevant because it is missing business context. Big Data helps address this

22 Training departments typically use three different types of data. Big Data will change how training departments look at this information.

23 1. Basic Training Data The most basic types of reports are on raw data with no analysis or tie to the outcome. Student X scored 95% on an exam Class Y had 100% attendance for all 3 days Question 3 was answered correctly 15 out 20 times Was this training successful? What was the impact on the business?

24 2. Training Data Analytics The next level of reporting involves some interpretation of the training data which gives some context. Usually these reports are customized to provide meaning. Statistical analysis across all learners Analysis across courses Test item analysis Kirkpatrick Typically these reports are used within a training department and rarely tie training to business performance.

25 Analytics A class was offered for senior management. The class took 3 days to complete It was held at an offsite location 100% participation from management 100% completion Every employee showed a measurable improvement in performance.

26 Analytics (True Story) The class was a three day golf lesson Did it add any value to the company? Big Data in training could connect the dots between those individuals and deals closed on the golf course by them.

27 3. Business Intelligence Business Intelligence has been around for decades. However, the tools and science behind BI has evolved rapidly over the past two decades. BI connects the dots between internal systems and helps you draw conclusions based on the data.

28 3. Business Intelligence Service departments often send out customer satisfaction surveys, the results are used to drive training. Service Survey Data New Training Developed Training Deficits Addressed

29 4. Big Data Big Data is the next in the evolution of using data. In HR Big Data companies are being called Human Data companies. Big Data is not just about reporting and analytics, but more about applications that derive meaning from the data.

30 Big Data Applications Big Data companies tend to be SaaS The application collect data from both internal and external sources The businesses scale by leveraging their data connections and customizing the rules for each new customer. Traditional systems focused on the what is going on in your company, these can tell you why.

31 Airline Example Continued.. Additional information that could be included and become part of the analysis would be: Flight cancelation data of other airlines at the same locations Analysis of the mechanic's training history who did and did not make the mistakes before the new training was delivered Analysis of employment history Analysis of the aircraft compared to other models Analysis of the aircraft flight data

32 Airline Example Continued.. Using the additional information a company could gain far more insight into their flight cancelation problems. Are the problems also occurring for other airlines who do maintenance at the same location? Does this problem only occur for certain models or years of this aircraft? Are certain employees with specific backgrounds the right people to do this maintenance?

33 Poll What areas would Big Data most impact the learning and development program at your company? A. Timely identification of future training B. Justifying budget for training initiatives C. Better reporting to upper management D. Reducing unnecessary training and related costs E. Improved insight for strategy and planning

34 Big Data Bias Search engine companies were among the first to leverage Big Data. Many of them look at what you read, buy, view etc to give you better results. This is extremely effective for one person at a time. How accurate are the results when you are doing a search for someone else?

35 Business Use VS Public Big Data in business can draw from known sources and solve a known problem. Big Data in public applications is not always as predictable.

36 Big Data for Management WHAT DOES IT CHANGE?

37 The Obvious. Big Data is a tool, it is not the solution If you don t know what you are looking for, Big Data won t help you find it. If you look for your answer in the wrong place, you will find the wrong answer. These are probably the top 3 most common assumptions management makes.

38 Context The key to effectively using Big Data as part of your strategy is making sure the data is relevant and you are connecting the right sources. One of the most common mistakes made is drawing a connection between groups of data that may exist, but have no meaning.

39 Example of Data Context Everyone in Senior Management is under 5 6 Everyone on the basketball team is over 5 10 Depending on the context a comparison of the same data element may or may not be relevant.

40 HR Big Data Finding patterns in successful employees work and non-work history can drive Learning, Talent and Workforce Management. Top programmers played musical instruments Top nuclear power plant operators spent time on a aircraft carrier or submarine

41 Big Data Mobile

42 Big Data Mobile vs. Global Mobile Location is important User is looking for a specific answer Profile is compiled locally Global Location is the internet Answer is about the user not for the user Profile is compiled globally

43 Mobile The most helpful personal form of Big Data The biggest loss of personal information The fastest growing market

44 Mobile Assistance Applications that build a local profile of you on your phone then use that information to provide assistance are having a huge impact on our lives. Waze Search Engines Profiling applications Netflix Amazon ebay

45 TMYGTMYL The More You Get, The More You Lose The downside to these tools is your phone data is some of the most telling information about who you are. Where you go How you get there Who you know Index of everything on your phone

46 Big Data Does Change Everything..

47 Three Thoughts About Big Data Big Data is being used everywhere Using Big Data in training can make it more accurate and concise Unlike other things that have been hyped, this is a new use of existing technologies. Not a new technology in itself

48 Q&A E D COHEN DEVELO PERED@ME.COM

49 Upcoming Webinars For More Info / To Register / To Access Archive: Search Webinars or On Demand at TrainingIndustry.com

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51 Thank You On behalf of TrainingIndustry.com, thanks to: Today s Speaker: Ed Cohen Today s Sponsor: SumTotal Systems All of you for attending Questions or Comments? Please contact Nabeel Jaitapker: njaitapker@trainingindustry.com