Digital analytics can provide various benefits to businesses through analyzing data from websites, social media, e-commerce platforms, and other digital sources. It helps with informed decision-making, identifying areas for improvement, tracking key performance indicators, and ensuring profitability. The document outlines four main forms of digital analytics - web analytics, social media analytics, business intelligence, and e-commerce analytics. It also discusses how different business functions like sales, marketing, operations, and finance can leverage digital analytics insights. Overall, digital analytics provides an edge to businesses by facilitating intelligent decisions, issuing warning signals, conducting profitability analysis, and allowing for KPI tracking.

1. Digital Analytics

2. Index
1. Introduction
2. Some important forms of Digital Analytics
a) Web Analytics
b) Social Media Analytics
c) Business Intelligence
d) E-Commerce Analytics
3. Functional Relevance
a) Sales
b) Marketing
c) Operations
d) Finance
4. Overall Edge to Business
a) Informed and intelligent decision-making
b) Warning signals and Loss Aversion
c) Profitability analysis
d) KPI tracking
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3. 1. Introduction
• The data created by little things done on digital devices is extremely relevant to businesses.
• Analytics could reveal various important factors such as which product is viewed most.
• Better marketing strategies and operational plans can be formulated with business intelligence and advanced data analytics.
• Digital analytics makes business sense out of the digital data that is being generated.
• Digital marketing analytics is the entire process of collecting, analyzing and converting the digital data
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
3

4. 2. Some important forms of Digital Analytics
a) Web Analytics
b) Social Media Analytics
c) Business Intelligence
d) E-Commerce Analytics
4

5. 2a. Web Analytics
Features:-
• Understands the flow of web traffic, user behavior on a
website, and the associated technologies
• Comprehends user psychology and behavior when they are on
a business website
• Reveals crucial areas for improvisations.
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
5

6. 2b. Social Media Analytics
Features:-
• Studies and analyses data created by the users on various
social media platforms
• Targets customers and audiences by pitching with the use
of humongous volumes of data are created on social media
platforms like Facebook, Twitter, Instagram, Snapchat,
YouTube etc
• Helps businesses to build sharp strategies
• Helps companies can also focus selectively
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
6

7. 2c. Business Intelligence
Features:-
• Focuses on the present circumstances.
• Helps in finding out the weaknesses and opportunities in
the current business practices or way of functioning based on
real-time or past data.
• Focuses on what future trends could be and what can be
done.
• For eg. Going digital and omnichannel could help retailers to
get their business back to motion as economic activities
resume
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
7

8. 2d. E-Commerce Analytics
Features:-
• Specifically targets ecommerce platforms owing to their
immense potential of providing meaningful data
• Focuses and analyses the sources of user traffic
• Provides insight on user activities and other such relevant
information
• Creates Better understanding of user experience on an
ecommerce platform
• Analyses ways to increase traffic and conversions.
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
8

9. Functional Relevance
a) Sales
b) Marketing
c) Operations
d) Finance
9

10. 3a. Sales
Digital analytics can helps sales function in Goal Setting, Providing Insights,
Identifying Unmet Needs, Periodical Sales Analysis
Majorly Digital Analytics helps Sales function by:-
• Setting proper and pragmatic targets
• Generating sustainable revenue
• Understanding to drive a sales opportunity.
• To identify un‐served and underserved areas
• Assessing the performance of the sales department
• Knowing about performances, contributions, areas for improvement
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
10

11. 3b. Marketing
• Objective of Digital analytics in marketing is to improve the efficiency and
effectiveness of the marketing strategies and efforts of a business enterprise.
• Majorly it helps Sales function in:-
• Predicting seasonal trends
• Merchandising decisions
• Redefine target segment
• Pricing decisions
• Supply chain decisions
• Website and social media analytics
• Performance of SEO and SMM strategies
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
11

12. 3c. Operations
Areas where data analytics help in operations management
are :-
• Procurement Planning
• Merchandising
• Supply chain and inventory
• Budgeting
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
12

13. 3d. Finance Department
Areas where financial data analytics can help your finance
division are:-
• Financial planning and forecasting
• Cash Flow Analysis
• Investment decisions, return on investment, break-even
analysis, etc.
• Profitability, liquidity, and leverage
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
13

14. 4. Overall Edge to Business
1. Informed and intelligent decision-making
2. Warning signals and Loss Aversion
3. Profitability analysis
4. KPI tracking
14

15. 4a. Informed and intelligent decision-making
Significance of Data Analytics in Decision Making
• Analyses tons of relevant business data
• Makes informed decisions but also intelligent decisions
• Provides grounds for an even better decision
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
15

16. 4b. Warning signals and Loss Aversion
Significance of Data Analytics in providing Warning Signals
• Data analytics can help businesses make predictive analyses
• Resources being poured into a less profitable or more risky
option/project/decision could be diverted to better alternatives.
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
16

17. 4c. Profitability analysis
Significance of Data Analytics in Profitability Analysis
• Calculates and assesses the profitability of individual products,
or its SKUs, or compute category wise profit
• Help to figure out which segment is your cash cow and which is
not
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
17

18. 4d. KPI tracking
Significance of Data Analytics in KPI Tracking:-
• Data analytics can help companies refine, redefine, and keep
track of the established KPIs.
• Directs project and its parts to ensure they are headed in the
right direction
Introduction
Some important
forms of Digital
Analytics
Functional
Relevance
Overall Edge to
Business
18

19. 5. Summary
• The data from various sources can help the various teams in various ways.
• The analysis of data behind a campaign can help to pinpoint the successfulness of it, why and how the audience interacted with it.
• Data can be used to help refine and improve
How YRC Digital will help?
• YRC is the service brand of YRC dedicated to digital products & digital transformation consulting.
• YRC is a dedicated team of professionals who understand digital analytics and know how it can be leveraged to achieve digital
transformation from inside out.
• For more information visit www.yourretailcoach.com
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20. Thank You
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