SlideShare a Scribd company logo
What are we missing out in standard
Analytics Practice?
By: Novoniel Deb
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
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)
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
Thanks for reading

More Related Content

What's hot

Business inteligence
Business inteligenceBusiness inteligence
Business inteligence
Mufaddal Nullwala
 
Batog
BatogBatog
Bridging the Gap from Strategy to Execution
Bridging the Gap from Strategy to ExecutionBridging the Gap from Strategy to Execution
Bridging the Gap from Strategy to Execution
Sue Alemann
 
5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
 5 Steps To Measure ROI On Your Data Science Initiatives - Webinar 5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
Gramener
 
Business intelligence strategy and roadmap 2018
Business intelligence strategy and roadmap 2018Business intelligence strategy and roadmap 2018
Business intelligence strategy and roadmap 2018
Mondy Holten
 
A marketers guide to data analytics marketing finder webinar 17 july 2013
A marketers guide to data analytics   marketing finder webinar 17 july 2013A marketers guide to data analytics   marketing finder webinar 17 july 2013
A marketers guide to data analytics marketing finder webinar 17 july 2013
marketingfinder.co.uk
 
Finance
FinanceFinance
How to Leverage the Power of Data Analytics in Sales?
How to Leverage the Power of Data Analytics in Sales?How to Leverage the Power of Data Analytics in Sales?
How to Leverage the Power of Data Analytics in Sales?
Shaily Shah
 
Implementing & Managing The Demand Signal Managment Process
Implementing & Managing The Demand Signal Managment ProcessImplementing & Managing The Demand Signal Managment Process
Implementing & Managing The Demand Signal Managment Process
Relational Solutions a Mindtree Company
 
Solid Route Accounting For Warehouse Clients
Solid Route Accounting For Warehouse ClientsSolid Route Accounting For Warehouse Clients
Solid Route Accounting For Warehouse Clients
CraigFisher
 
Customer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation SlidesCustomer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation Slides
SlideTeam
 
Increase Cash Flow with Automation
Increase Cash Flow with AutomationIncrease Cash Flow with Automation
Increase Cash Flow with Automation
Credit Management Association
 
Customer analytics. Turn big data into big value
Customer analytics. Turn big data into big valueCustomer analytics. Turn big data into big value
Customer analytics. Turn big data into big value
Josep Arroyo
 
Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)
dansimms
 
CFO Asia Forum - July 2011, Singapore
CFO Asia Forum - July 2011, SingaporeCFO Asia Forum - July 2011, Singapore
CFO Asia Forum - July 2011, Singapore
Isabella Barbato
 
Break through the Analytics Barrier
Break through the Analytics BarrierBreak through the Analytics Barrier
Break through the Analytics Barrier
Cognizant
 
Data Driven Transformation for Sales - SMART Territory Management
Data Driven Transformation for Sales - SMART Territory ManagementData Driven Transformation for Sales - SMART Territory Management
Data Driven Transformation for Sales - SMART Territory Management
Barry Magee
 
Building AI strategy in organizations
Building AI strategy in organizationsBuilding AI strategy in organizations
Building AI strategy in organizations
VyratechITSolutions
 
Kickstart a Data Quality Strategy to Build Trust in Your Data
Kickstart a Data Quality Strategy to Build Trust in Your DataKickstart a Data Quality Strategy to Build Trust in Your Data
Kickstart a Data Quality Strategy to Build Trust in Your Data
Precisely
 

What's hot (19)

Business inteligence
Business inteligenceBusiness inteligence
Business inteligence
 
Batog
BatogBatog
Batog
 
Bridging the Gap from Strategy to Execution
Bridging the Gap from Strategy to ExecutionBridging the Gap from Strategy to Execution
Bridging the Gap from Strategy to Execution
 
5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
 5 Steps To Measure ROI On Your Data Science Initiatives - Webinar 5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
5 Steps To Measure ROI On Your Data Science Initiatives - Webinar
 
Business intelligence strategy and roadmap 2018
Business intelligence strategy and roadmap 2018Business intelligence strategy and roadmap 2018
Business intelligence strategy and roadmap 2018
 
A marketers guide to data analytics marketing finder webinar 17 july 2013
A marketers guide to data analytics   marketing finder webinar 17 july 2013A marketers guide to data analytics   marketing finder webinar 17 july 2013
A marketers guide to data analytics marketing finder webinar 17 july 2013
 
Finance
FinanceFinance
Finance
 
How to Leverage the Power of Data Analytics in Sales?
How to Leverage the Power of Data Analytics in Sales?How to Leverage the Power of Data Analytics in Sales?
How to Leverage the Power of Data Analytics in Sales?
 
Implementing & Managing The Demand Signal Managment Process
Implementing & Managing The Demand Signal Managment ProcessImplementing & Managing The Demand Signal Managment Process
Implementing & Managing The Demand Signal Managment Process
 
Solid Route Accounting For Warehouse Clients
Solid Route Accounting For Warehouse ClientsSolid Route Accounting For Warehouse Clients
Solid Route Accounting For Warehouse Clients
 
Customer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation SlidesCustomer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation Slides
 
Increase Cash Flow with Automation
Increase Cash Flow with AutomationIncrease Cash Flow with Automation
Increase Cash Flow with Automation
 
Customer analytics. Turn big data into big value
Customer analytics. Turn big data into big valueCustomer analytics. Turn big data into big value
Customer analytics. Turn big data into big value
 
Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)
 
CFO Asia Forum - July 2011, Singapore
CFO Asia Forum - July 2011, SingaporeCFO Asia Forum - July 2011, Singapore
CFO Asia Forum - July 2011, Singapore
 
Break through the Analytics Barrier
Break through the Analytics BarrierBreak through the Analytics Barrier
Break through the Analytics Barrier
 
Data Driven Transformation for Sales - SMART Territory Management
Data Driven Transformation for Sales - SMART Territory ManagementData Driven Transformation for Sales - SMART Territory Management
Data Driven Transformation for Sales - SMART Territory Management
 
Building AI strategy in organizations
Building AI strategy in organizationsBuilding AI strategy in organizations
Building AI strategy in organizations
 
Kickstart a Data Quality Strategy to Build Trust in Your Data
Kickstart a Data Quality Strategy to Build Trust in Your DataKickstart a Data Quality Strategy to Build Trust in Your Data
Kickstart a Data Quality Strategy to Build Trust in Your Data
 

Similar to What are we missing out in standard Analytics Practice? - By Novoniel Deb

Business Intelligence Industry Perspective Session I
Business Intelligence   Industry Perspective Session IBusiness Intelligence   Industry Perspective Session I
Business Intelligence Industry Perspective Session I
Prithwis Mukerjee
 
CRM Presentation - NBMDA Annual Conference
CRM Presentation - NBMDA Annual ConferenceCRM Presentation - NBMDA Annual Conference
CRM Presentation - NBMDA Annual Conference
Idle Tools Corp
 
Blueprint for CRM
Blueprint for CRMBlueprint for CRM
Blueprint for CRM
Michael Collins
 
Data Analysis.pdf
Data Analysis.pdfData Analysis.pdf
Data Analysis.pdf
Adarsh748147
 
The Dream Team - Getting Involvement Above and Beyond Sales
The Dream Team - Getting Involvement Above and Beyond SalesThe Dream Team - Getting Involvement Above and Beyond Sales
The Dream Team - Getting Involvement Above and Beyond Sales
dreamforce2006
 
Business Plan Webinar for Veterans
Business Plan Webinar for VeteransBusiness Plan Webinar for Veterans
The Power of a Proper North Star Metric
The Power of a Proper North Star MetricThe Power of a Proper North Star Metric
The Power of a Proper North Star Metric
RocketSource
 
Data Analysis.pptx
Data Analysis.pptxData Analysis.pptx
Data Analysis.pptx
RishalHalid1
 
CRM Blueprint For NFPs
CRM Blueprint For NFPsCRM Blueprint For NFPs
CRM Blueprint For NFPs
Michael Collins
 
Business intellegence
Business intellegenceBusiness intellegence
Business intellegence
Gaurav Khatri
 
Data analysis in uae
Data analysis in uaeData analysis in uae
Data analysis in uae
Fiyona Nourin
 
Marcus Baker: People Analytics at Scale
Marcus Baker: People Analytics at ScaleMarcus Baker: People Analytics at Scale
Marcus Baker: People Analytics at Scale
Edunomica
 
Data Analysis.pdf
Data Analysis.pdfData Analysis.pdf
Data Analysis.pdf
RishalHalid1
 
Developing a cult of analytics
Developing a cult of analyticsDeveloping a cult of analytics
Developing a cult of analytics
Steve Jackson
 
IT Ready - DW: 1st Day
IT Ready - DW: 1st Day IT Ready - DW: 1st Day
IT Ready - DW: 1st Day
Siwawong Wuttipongprasert
 
How A Good Customer Data Management Can Get You Better Results
How A Good Customer Data Management Can Get You Better ResultsHow A Good Customer Data Management Can Get You Better Results
How A Good Customer Data Management Can Get You Better Results
Way2Online
 
Delivering an effective customer experience dashboard
Delivering an effective customer experience dashboardDelivering an effective customer experience dashboard
Delivering an effective customer experience dashboard
Customerexperienceplanning
 
Power Of Data Analytics - Natasa Jukic
Power Of Data Analytics - Natasa JukicPower Of Data Analytics - Natasa Jukic
Power Of Data Analytics - Natasa Jukic
Institute of Contemporary Sciences
 
水晶易表Dashboard Webinar 20 May 2009 Print
水晶易表Dashboard Webinar 20 May 2009 Print水晶易表Dashboard Webinar 20 May 2009 Print
水晶易表Dashboard Webinar 20 May 2009 Print
zhaoguang721
 
Business Intelligence-v1.pptx
Business Intelligence-v1.pptxBusiness Intelligence-v1.pptx
Business Intelligence-v1.pptx
RandhirShah3
 

Similar to What are we missing out in standard Analytics Practice? - By Novoniel Deb (20)

Business Intelligence Industry Perspective Session I
Business Intelligence   Industry Perspective Session IBusiness Intelligence   Industry Perspective Session I
Business Intelligence Industry Perspective Session I
 
CRM Presentation - NBMDA Annual Conference
CRM Presentation - NBMDA Annual ConferenceCRM Presentation - NBMDA Annual Conference
CRM Presentation - NBMDA Annual Conference
 
Blueprint for CRM
Blueprint for CRMBlueprint for CRM
Blueprint for CRM
 
Data Analysis.pdf
Data Analysis.pdfData Analysis.pdf
Data Analysis.pdf
 
The Dream Team - Getting Involvement Above and Beyond Sales
The Dream Team - Getting Involvement Above and Beyond SalesThe Dream Team - Getting Involvement Above and Beyond Sales
The Dream Team - Getting Involvement Above and Beyond Sales
 
Business Plan Webinar for Veterans
Business Plan Webinar for VeteransBusiness Plan Webinar for Veterans
Business Plan Webinar for Veterans
 
The Power of a Proper North Star Metric
The Power of a Proper North Star MetricThe Power of a Proper North Star Metric
The Power of a Proper North Star Metric
 
Data Analysis.pptx
Data Analysis.pptxData Analysis.pptx
Data Analysis.pptx
 
CRM Blueprint For NFPs
CRM Blueprint For NFPsCRM Blueprint For NFPs
CRM Blueprint For NFPs
 
Business intellegence
Business intellegenceBusiness intellegence
Business intellegence
 
Data analysis in uae
Data analysis in uaeData analysis in uae
Data analysis in uae
 
Marcus Baker: People Analytics at Scale
Marcus Baker: People Analytics at ScaleMarcus Baker: People Analytics at Scale
Marcus Baker: People Analytics at Scale
 
Data Analysis.pdf
Data Analysis.pdfData Analysis.pdf
Data Analysis.pdf
 
Developing a cult of analytics
Developing a cult of analyticsDeveloping a cult of analytics
Developing a cult of analytics
 
IT Ready - DW: 1st Day
IT Ready - DW: 1st Day IT Ready - DW: 1st Day
IT Ready - DW: 1st Day
 
How A Good Customer Data Management Can Get You Better Results
How A Good Customer Data Management Can Get You Better ResultsHow A Good Customer Data Management Can Get You Better Results
How A Good Customer Data Management Can Get You Better Results
 
Delivering an effective customer experience dashboard
Delivering an effective customer experience dashboardDelivering an effective customer experience dashboard
Delivering an effective customer experience dashboard
 
Power Of Data Analytics - Natasa Jukic
Power Of Data Analytics - Natasa JukicPower Of Data Analytics - Natasa Jukic
Power Of Data Analytics - Natasa Jukic
 
水晶易表Dashboard Webinar 20 May 2009 Print
水晶易表Dashboard Webinar 20 May 2009 Print水晶易表Dashboard Webinar 20 May 2009 Print
水晶易表Dashboard Webinar 20 May 2009 Print
 
Business Intelligence-v1.pptx
Business Intelligence-v1.pptxBusiness Intelligence-v1.pptx
Business Intelligence-v1.pptx
 

Recently uploaded

Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Kiwi Creative
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
mzpolocfi
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Lars Albertsson
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
Natural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptxNatural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptx
fkyes25
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
Roger Valdez
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 

Recently uploaded (20)

Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
Natural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptxNatural Language Processing (NLP), RAG and its applications .pptx
Natural Language Processing (NLP), RAG and its applications .pptx
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
Everything you wanted to know about LIHTC
Everything you wanted to know about LIHTCEverything you wanted to know about LIHTC
Everything you wanted to know about LIHTC
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 

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