We believe in Analytics but why don't we get complete analytics? This article gives a simple overview on why and how of this.
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What are we missing out in standard Analytics Practice? - By Novoniel Deb
1. What are we missing out in standard
Analytics Practice?
By: Novoniel Deb
2. Data and business transactions
Products/
Services
Employees Cash FlowCustomers
A huge potential
of business data
Marketing
Support
Feedback
Sales
Expertise
HR Skills
Rewards Rewards
Work
Management
Resource
ManagementDelivery
Billing
Payables
Receivables
Stock Logistics
Retail
Social
Media
Over Draft
Interest
Project
CRMMarketing SCM HRMS Finance /
Accounting
Projects RetailCustomer
Feedback
and
Support
Admin
Admin Stores /
Delivery
Purchase
So what we see here?So what we see here?So what we see here?So what we see here?
Isolated
applications / tools
managing their
own data
Limited correlated
data between
separate platforms
And of course separate
heads and owners of
those sections focusing
only on their transactions
3. Standard Analytics Practise
Focusing on onlyFocusing on onlyFocusing on onlyFocusing on only
certain datacertain datacertain datacertain data
points and factorspoints and factorspoints and factorspoints and factors
and statistics overand statistics overand statistics overand statistics over
themthemthemthem
So what’sSo what’sSo what’sSo what’s
missing?missing?missing?missing?
Many of the missed
out fields has the
potential to give
insight on the
impact and affect
that they can make
on the Independent
data points
Business and
department owners
are too busy with
making sales and
management. For
them the insight on
key information is
sufficient
So how do we help the
business into making them
believe and make the missing
information part of their daily
insights and actions?....see
the next slide
Insight of business
data through KPIs
and reports related
to Key Focus Areas
corresponding to
pain areas and
control points
In this we start with
one business
process/departmen
t/area and deploy
the Analytics based
on the exact need
stated by users
Starts with
One per
department/b
iz section
Grows to
multiple
dashboard
per
department
/ biz section
Sone day we build
and deliver some
consolidated
dashboards,
tagging them with
words like 360
degree view
This seems to be a perfect way ofThis seems to be a perfect way ofThis seems to be a perfect way ofThis seems to be a perfect way of
Analytics practise where we keep onAnalytics practise where we keep onAnalytics practise where we keep onAnalytics practise where we keep on
collecting requirement as per businesscollecting requirement as per businesscollecting requirement as per businesscollecting requirement as per business
pain / focus areas and keep deployingpain / focus areas and keep deployingpain / focus areas and keep deployingpain / focus areas and keep deploying
dashboards to help management takedashboards to help management takedashboards to help management takedashboards to help management take
corrective and better decisioncorrective and better decisioncorrective and better decisioncorrective and better decision
We miss out many
data points while
the data flows from
on transaction
system to the
another (at many
points they don’t
even flow)
4. How?
Gather requirements of
business users whenever
they ask for
Mine the data related
to the requirements
Collect more insights on the data
sets with other impacting data
points and share with the
business users
Build and deploy the analytics
dashboards for the business
users containing additional
insights
Do study and research for
including other potential data
points and inform the
management to get them
captured
Analyse the impact of the
dashboards on business
Mine other data sets
Collect the potential
insights which are missed
out. Share with the
business users to make
them use those
Make this aMake this aMake this aMake this a practicepracticepracticepractice,,,, iiiinnnnssssttttiiiittttuuuuttttiiiioooonnnnaaaalllliiiizzzzeeee tttthhhheeeemmmm
Here I am not even talking about forecasting, Big Data
etc. Those are required but first we need to
standardize few things