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Ana02. Making Sense of Data Analytics: Work Smarter, Not Necessarily Harder

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Whether you are in HR, Sales, IT, Security, Marketing and Communications or Business Transformation, you know that one of today’s major business problems is that one of Employee Engagement, or, to be more precise, of employee disengagement. When only 13% of the global workforce is engaged at work (Cf. Gallup 2013 - https://hbr.org/2013/10/map-the-sad-state-of-global-workplace-engagement), one has got to question whether we have got a rather catastrophic business problem, or an unprecedented business opportunity to transform the way we collaborate and get work done.

What if we could use data analytics to make sense of what’s happening around us? To seek out the different business opportunities that may be laying around out there dormant in order to influence a shift of behaviours on how employees get work done more effectively by enabling a more open, public and transparent work environment where open knowledge sharing, cooperation, coopetition and collaboration would help transform our work culture(s).

What if each life of business embarks on a journey to identify new business opportunities, new markets, by making sense of data analytics to help us work smarter, not necessarily harder? Whether it’s data coming out of traditional tools like email and applications, or whether it’s data coming out of your own Enterprise Social Networking platform (i.e. IBM Connections), there is always an opportunity to seek > sense > share what we know, and use, to eventually transform the way we work.

What if you could make use of smart data analytics to influence the increase and further growth of the overall levels of employee engagement, talent retention, sales (by becoming a customer centric organisation), existing or new marketing goals as well as fine tuning more effectively your entire IT infrastructure. Would you also want to work smarter, not necessarily harder?

Come and join us then to find out how we could help you AND your business transform the way you work and interact with your customers using data analytics to inspire and influence smarter work!

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Ana02. Making Sense of Data Analytics: Work Smarter, Not Necessarily Harder

  1. 1. #engageug Making Sense of Data Analytics: Work Smarter, Not Necessarily Harder Luis Suarez - @elsua Digital Transformation & Data Analytics Adviser @panagenda 1
  2. 2. #engageug What’d You Say Is Today’s Main Business Problem? • Optimisation of IT (what else can we do to improve our infrastructure?) • Employee burnout (Our employees are overworked and overloaded!) • Lack of communications • Customer satisfaction • Talent retention • We are not innovating fast enough! • Bureaucracy (i.e. how do we shake off the Cult of Busyness?) • Security • ‘Knowledge is power’ (we don’t collaborate, nor cooperate, enough!) • Management (our leaders aren’t stepping up to our current business challenges!) 2
  3. 3. #engageug Yet, Employee (dis)Engagement Tops Them All 3 • According to Gallup (2013 study - http://bit.ly/2jO7dBS), only 13% of the global’s employee workforce is currently engaged at workSource: https://www.flickr.com/photos/89228431@N06/11220991354/
  4. 4. #engageug What If … Data Analytics Could Help Us Solve It? • What if data analytics could help us optimise our IT infrastructure to reduce cognitive overload (i.e. too many options)? • What if data analytics could help us enable more effective adaptation techniques for our ESNs deployment programmes? • What if data analytics could help us transform into a customer- centric, learning driven organisation? • What if data analytics could help us identify our experts, our critical knowledge & expertise, our different connections becoming more open? 4
  5. 5. #engageug How Can Data Analytics Help IT? 5 • Have an understanding of database usage by countries and regions
  6. 6. #engageug How Can Data Analytics Help IT? 6 • How high is the % of employees with corporate mobile devices?
  7. 7. #engageug How Can Data Analytics Help Human Resources? 7 • Help identify most heavily overloaded employees within a specific line of business: i.e. Sales
  8. 8. #engageug How Can Data Analytics Help Human Resources? 8 • What’s the current email volume outside business hours? Which line of business is most impacted?
  9. 9. #engageug How Can Data Analytics Help Human Resources? 9 • How often do different generations at the workplace use email on mobile devices?
  10. 10. #engageug Leading the Way - Evonik • Business Opportunity: Use email analytics to help identify, more effectively, different workloads in order to comply with German regulations • Solution: Using specific data analytics solutions to address excessive work schedules, overload, employee burnout, corporate responsibility, etc. • Business Impact: Re-engage the employee workforce while complying with German laws 10
  11. 11. #engageug How Can Data Analytics Help Sales? 11 • Which customers & business partners do we communicate with the most often and why? • How can we facilitate our sellers share information about customers and projects? • Based on traffic volume, which customers and business partners should we invite to collaborate closer together using IBM Connections Communities?
  12. 12. #engageug How Can Data Analytics Help Sales? 12 • How is email used by different sales teams across different regions while being compliant with local law and regulations? Sales BeNeLux Sales DACH Sales UK Sales FR Sales CEE Sales Nordic Sales ME Sales USA Sales LASales APAC Sales ZA
  13. 13. #engageug Leading the Way - panagenda 13 • Business Opportunity: Use email analytics to help increase sales and grow the business • Solution: Using specific data analytics solutions to implement automatic task recommendations based on frequency of email / communications as well as contacts’ vitality • Business Impact: Sales growth by becoming more customer-centric through multiple conversations and touch-points
  14. 14. #engageug How Can Data Analytics Help Knowledge Management? 14 • ‘eMail is where knowledge goes to die’ - Bill French (1999) • How large are our emails? Which ones generate the most traffic? Should they? • 96,4% of our global email communication costs are generated by email with 512KB and larger! • How many of these emails containing attachments really have to be sent and shared internally vs. an ESN or social file sharing service?
  15. 15. #engageug 15 How Can Data Analytics Help Knowledge Management? • How many recipients do we usually send our emails to? Can we open up? • How much traffic & costs are generated by internal emails to many vs. working in open teams / communities? • How can we help enable more effective collaboration, cooperate & coopetition through IBM Connections Communities?
  16. 16. #engageug Leading the Way - Public Sector Europe • Business Opportunity: Identify critical knowledge within the organisation, whether it’s stored in email conversations, documents, Connections Apps, etc. through redundancy analysis • Solution: Using specific data analytics solutions enterprise wide, i.e. clients, servers, apps, e-mail, social. Custom development to make it work while helping identify and capture essential, critical knowledge to the organisation so it can be reused effectively • Business Impact: Help the organisation retain, very effectively, plenty of its critical knowledge by reducing substantially ‘corporate amnesia’ 16
  17. 17. #engageug There Is A Lot We Can Do with Analytics • Become even more effective at what we do rather well already • Improve the overall employee experience (including their well-being) • Become a customer-centric, learning driven business • Enable an open knowledge sharing environment where knowledge flows freely through collaboration and cooperation in teams, networks and communities So, what is stopping us then? 17
  18. 18. #engageug 18 Source - https://www.flickr.com/photos/k2scrapper/8577741616/
  19. 19. #engageug Making Sense of Data Analytics: Working Smarter, Not Necessarily Harder 19 Luis Suarez Digital Transformation & Data Analytics Adviser eMail: luis.suarez@panagenda.com Mobile #: +34 679 722 947 Twitter: @elsua Web site: http://www.panagenda.com

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