ABOUT ME€¦ · UI/UX Each and every user trust factor and input about the dashboard decides the trust factor of the dashboard, sharing and other options like comment, like helps

P a s t , P r e s e n t & F u t u r e o f V i s u a l A n a l y t i c s

ABOUT ME

BI ENTHUSIAST – ANALYTICS TRANSLATOR

Expert in designing dashboards and metrics using Tableau and Qlik with well-

honed expertise in working with global teams executing strategic projects and

data analysis. My background entails around 10 years’ enriching experience in

Data Sciences, Cleansing and Transformation. I am enthused most when

given the opportunity to exhibit my skills to develop strategic, substantial and

pertinent dashboards encapsulating large volumes of data.

PAST,PRESENT & FUTUREV i s u a l A n a l y t i c s


How we have evolved so far?


LET’S SOLVE A PUZZLE


1.5Data Experts

MILLION

1.2Humans at Work

BILLION

G

A

P

PUZZLE IS


Current Data Visualization Market

Now a days, every enterprise and their needs are completely different. One

size fits all doesn’t exist any more , every organization should have a special

team(COE) and analyse and do lots of studies before choosing a tool. If we are

choosing just going by the wow factor during a sales session , definitely highly

likely we will regret later.

Lots and lots of options. Wrong choice will cost

you a BOMB!


Current BI Market - Offerings

Data blending plus ETL capability is a standard feature

sought from any data visualization product

D a t a I n t e g ra t i o n

Drag & Drop is a fancy word now a days, but no one talks

about , what happens if everyone in organisation develops

dashboard.

R a p i d D e ve l o p m e n t

UI/UX plays an crucial role for many organisation to choose

their visual analytics tool, but remember if you hire a right

developer UI/UX can be still tweaked to the industry

standards, so this should not be a deciding factor

U I / U X

Each and every user trust factor and input about the dashboard decides the trust

factor of the dashboard, sharing and other options like comment, like helps the

organization in user adoption

C o l l a b o ra t i o n

Data Governance and Data Quality goes hand in hand this

should be naturally work with the BI tool of your choice

D a t a G o ve r n a n c e a n d Q u a l i t y

Now a days every one wants a product which can be

customized and it should not be having any boundaries.

C u st o m i za t i o n & E x t e n s i b l e A P I s


CASE I

Situation:Dirty Data

Smart BI Developers

Miss ion : C lean Data & S leek Dashboards


CASE II

Situation:

Good Data

More Decisions to Make

Less Analyst & Time

Mission : Quick Insights


CASE III

Situation:

Disparate Data Sources

Bespoke Reporting

Silo Reporting

Miss ion : I n tegr a t ion & S ing le S our c e o f Tr u th


GAPS

Every data element in an organisation can be called in a

different name, centralised data dictionary. Centralised

Business Glossary.

G o ve r n a n c e

The lack of adoption and engagement forces analysts to

manually explain dashboards with written reports, phone call

follow-ups, or video walkthroughs.

U s e r A d o p t i o n

60-80% of the time is spent in making the dashboard look

elegant and sleek , and less time is spent in helping people

to explore insights

T i m e

SECTION BREAK

Break for 45 Minutes


HOW BI EVOLVED?

• Reporting to reconcile ledgers.

• Less Customizations

• Programming

Wait Time: Months

WAVE I B I 1 . 0WAV E I I

Reconcile to General

Ledger

M a i n f ra m eWAV E I

( 1 9 5 0 - 1 9 8 0 ) B I 2 . 0WAV E I I I


HOW BI EVOLVED?

• Operational & Bespoke reporting

• Email Alerting

• User Training

• Data Lineage

• Governance

• No Drill Down

Wait Time: Weeks

WAVE II

B I 1 . 0WAV E I I

Reconcile to

General Ledger

M a i n f ra m eWAV E I( 1 9 5 0 -1 9 8 0 )

B I 2 . 0WAV E I I I


HOW BI EVOLVED?

• In- Memory Analytics – Every click gives an insights

• Reactive reporting

• Customizable – Drag & Drop

• Canned Reporting still possible

• Single Source of Truth

• Data Governance

• User Training/Adoption

• BI Developers

Wait Time: Days

WAVE III B I 1 . 0WAV E I I

Reconcile to

General Ledger

M a i n f ra m eWAV E I( 1 9 5 0 -1 9 8 0 )

B I 2 . 0WAV E I I I


WELCOMETO THE NEW ERA

• Natural language Processing – Just like your

google

• No user training required

• User Adoption at its best

• Easy Data Integration & Analysis at the speed

of thoughts

• Synonyms of each and every data element

can be configured

JUST SEARCH

WAVE IV


4.8To build

one report

DAYS

1.5Data Experts

MILLION

1.2Humans at Work

BILLION

SAME PUZZLE……


BI 1.0 & 2.0

Gather Requirements

Connect to Data

Data Modeling

SQL & Database Tuning

Build Cubes & Summary Views

Define Drill Paths

Build & Publish Reports

Rinse & Repeat

Define Security

Index and Cache Data

Build Virtual Views

Define Security

2+ Month to deploy

3 weeksto deploy*

1 WEEKto build report

1 MINUTEto get an insight/answer

VS BI 3.0FACE OFF

* Timelines depends on the data quality of your organization as well

By 2020, 50% of analytics queries will be generated

using search, natural-language processing or voice,

or automatically generated."

R E A D M O R E


Questions?


Ideal Recipe for a Successful Visual Analytics Journey

Data Literacy

Single Source of Truth

Business Knowledge

Broader Data/Insights

Accessibility/Master Data

Management

Data COE

Infrastructure Scalability

01

02

03

04

05

06


STEPS TO WIN!

0102

0304

Tying People, Process & Technology!

DATA

Documents

ABOUT ME€¦ · UI/UX Each and every user trust factor and input about the dashboard decides the trust factor of the dashboard, sharing and other options like comment, like helps