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!
Generative AI for Social Good at Open Data Science East 2024
Ana02. Making Sense of Data Analytics: Work Smarter, Not Necessarily Harder
1. #engageug
Making Sense of Data
Analytics: Work Smarter, Not
Necessarily Harder
Luis Suarez - @elsua
Digital Transformation & Data Analytics Adviser
@panagenda
1
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. #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. #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. #engageug
How Can Data Analytics Help IT?
5
• Have an understanding of database
usage by countries and regions
6. #engageug
How Can Data Analytics Help IT?
6
• How high is the % of
employees with
corporate mobile
devices?
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. #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. #engageug
How Can Data Analytics Help Human Resources?
9
• How often do different
generations at the workplace
use email on mobile devices?
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. #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. #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. #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. #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. #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. #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. #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
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