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Business Intelligence Solutions for the Retail Industry

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Business Intelligence Solutions for the Retail Industry Syscon Infotech Pvt.Ltd. # 250,5B Sanjay Building, Mittal Industrial Estate Marol Naka, Andheri Kurla Road – PowerPoint PPT presentation

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Title: Business Intelligence Solutions for the Retail Industry


1
Business Intelligence Solutions for the Retail
Industry
  • Syscon Infotech Pvt.Ltd.
  • 250,5B Sanjay Building, Mittal Industrial
    Estate
  • Marol Naka, Andheri Kurla Road
  • Andheri East
  • Mumbai -400 059.
  • Tel0091-22-40622400
  • Fax0091-22-40622410
  • E-mail sales_at_sysconinfotech.com

2
About Us
  • A professionally managed company with over 15
    years of experience spanning Consulting,
    customized technology development, implementation
    and training.

3
Syscon Differentiators as a Source of Competitive
Advantage
Ability to Recommend
  • Focus on Customer needs Business values
  • Multi-Vendor Skills
  • 15 Years Experience
  • Strong Manpower resources and capabilities.
  • Broad portfolio of solutions and services.

Power to Implement
Speed, Quality Flexibility
  • Proven Methodology and Tools.
  • Full Cycle of Implementation experience.
  • Flat and flexible structure.

4
What is Business Intelligence ?
  • Business intelligence (BI) is a process for
    increasing the competitive advantage of a
    business by intelligent use of available data in
    decision making.
  • Business intelligence (BI) refers to
    technologies, applications and practices for the
    collection, integration, analysis, and
    presentation of business information and
    sometimes to the information itself.
  • BI systems provide historical, current, and
    predictive views of business operations, most
    often using data that has been gathered into a
    data warehouse or a data mart and occasionally
    working from operational data. Software elements
    support the use of this information by assisting
    in the extraction, analysis, and reporting of
    information.

5
  • BI is a set of concepts and methods to improve
    business decision making by using fact based
    support systems. It refers to technologies,
    applications and practices for the collection,
    integration, analysis, and presentation of
    business information.
  • BI systems provide historical, current, and
    predictive views of the business operations. They
    combine data management (consolidating,
    organizing, cleansing huge amounts of disparate
    data from varying systems and platforms) with
    predictive analytics (data mining, forecasting,
    and data optimization).

6
Relevance of BI in Retail Industry
  • Globalization, deflation, diversification of
    sales channels and, most of all, changing
    customer demands have merged to create a
    cutthroat environment in which retailers struggle
    to turn a profit.  Sales remain flat as many
    companies don't understand customer behavior and
    buying habits well enough to make the right
    decisions about product, price, promotion and
    placement. And without the ability to explore
    every facet of the organization across business
    units and geographies, it can be a struggle to
    understand and manage the costs and other drivers
    required to do business.
  • Syscon BI Solutions for retail turn data about
    customers, merchandise and operations into
    knowledge that provides greater insight into
    performance and empowers retailers to make more
    informed decisions, gain a competitive advantage,
    strengthen customer and vendor loyalty, and
    improve profitability.

7
The Gap
  • Technology plays an important role in supporting
    the backbone of retail businesses. Typically, in
    a retail environment, operational and transaction
    systems, such as Point of Sales (POS) systems are
    efficient in what they are intended to do
    record and retrieve large volumes of transactions
    and operations. Embedded in the POS is a
    treasure trove of dormant often unused
    information about what has happened in the
    business in the last week, last month, last year,
    etc. Traditional reporting systems present
    historical information in standard static
    layouts. These reports can neither be viewed from
    different perspectives at deferent times nor can
    they provide critical insight for retailers to
    help them make basic operational decisions.

8
Realizable Value
  • Real value comes from systems that go beyond
  • the limitations of operational software alone,
    and
  • take the operational data to create enterprise
  • intelligence and predictive insights.
  • With this information retailers can make sense of
  • customer, product, supplier, and operational data
  • and draw insights that will help them run their
  • businesses better and more profitably. This is
  • exactly where Business Intelligence comes into
  • play.

9
Making Decisions
Data Presentation Visual, Tabular, Graphical
views Of the Information
Increasing Potential to support Business Decisions
Data Mining Discovery of Information from the
Data
Data Exploration Querying and Reporting the
Organized data
Data Warehouses / Data Marts Analyzed,
Processed, Aggregated, Organized data
Data Sources Papers, Files, Databases
10
Syscon Retail BI solutions
  • Large to medium size retail organizations have
    adopted ERPs successfully, resulting in
    automation of all their transaction processing.
    This has now created a good foundation (and
    opportunity) for Business Intelligence
    applications in terms of
  • Businesses possess huge and rich data resource.
  • Businesses have seen the benefits of huge
    investments in IT.
  • Businesses are keen to have insights into their
    own performance and discover opportunities for
    improvement on continuous basis.
  • Businesses would like to discover new business
    opportunities from their existing customer base,
    market reach and so on.

11
Communications Gap in Business Intelligence
  • Though retail houses implemented sophisticated
    systems for each functional points, most of the
    cases that do not communicate with each other not
    effectively integrated into a common analytical
    layer that utilizes common databases and
    information delivery mechanisms. As a result,
    even at the biggest retail chains, the larger
    dimensions of Business Intelligence analytics,
    applications and platforms can be surprisingly
    archaic .

12
Our Offerings
13
Customer Intelligence
  • Helps retailers identify, acquire, activate,
    serve and retain the most profitable customers.

14
Merchandise Intelligence
  • Helps retailers drive revenue, protect margins
    and earn customer loyalty with optimized
    merchandise plans, assortments, pricing,
    promotions all driven by unparalleled demand
    forecasting and predictive analytics.
  • We provide complete planning capabilities for the
    merchandising process, including performance
    analysis, financial planning, assortment planning
    and more.

15
Operations Intelligence
  • Helps retailers leverage organizational assets to
    trade with vendors and serve customers more
    efficiently and profitably.

16
Supplier Relationship Management
  • Helps establish sound supplier evaluation
    practices and reduce enterprise spend by
    consolidating and prioritizing your supplier base
    and reducing supplier risk. This solution offers
    strategy alignment ,commodity classification,
    opportunity exploration, detailed analysis and
    decision support.

17
Financial Intelligence
  • Helps retailers focus on specific financial
    business processes planning, reporting,
    budgeting, consolidation, risk assessment,
    forecasting, strategy development, the audit
    process and develop more predictive, accurate,
    relevant and timely results.

18
Human Capital Management
  • offers the organizational insights that enable
    retail organisations to plan effective human
    capital strategies and then measure and compare
    their company's best practices.

19
Performance Management Solutions
  • Provide the ability to analyze, forecast and
    maximize profits across the entire retail
    enterprise by monitoring cost and performance,
    helping retailers drive disparate functional
    units toward common goals.

20
Activity Based Management
  • provides accurate financial information in a form
    that mirrors the day-to-day activities of the
    people, equipment and processes that directly
    impact a retailer's bottom line. This solution
    provides profitability analysis and forecasting
    to help retailers look to the future with a
    reliable picture of operating costs.

21
Strategic Performance Management
  • allows executives to track key performance
    indicators (KPIs) across the entire retail
    enterprise, from merchandising and marketing to
    distribution and store operations, to analyze,
    learn and plan strategically. Executives can then
    quickly communicate goals and strategies
    throughout the organization.

22
Skill Set
  • Data Management
  • Manage large volume of data
  • Building Data Warehouse or Data Mart
  • Building OLAP Cubes
  • Building ETL processes for extracting and
    transforming data from independent systems
  • Working on multiple platforms MS SQL, Oracle,
    SAS

23
Analytics Scope - Illustrated
  • What sells where and how
  • Programs
  • Promotion
  • Membership
  • Channel
  • Market
  • Product
  • Location
  • Time
  • Key Data Elements
  • Sales and Growth (Targets if Any)
  • Frequency of Purchases
  • Avg. Sales Value per Transaction
  • Avg. Sales Value per Customer per Month
  • No. of Items per Transaction
  • Analysis Techniques (Illustrative)
  • Data Mining
  • Clustering
  • Market Basket Analysis
  • Statistical
  • Distribution Analysis
  • Pareto Analysis
  • Trend Analysis
  • Correlations
  • OLAP
  • High performers
  • Low performers
  • Outliers

24
People
  • Team of 150 people consisting of
  • Statisticians (Ph.D. and Masters in Statistics)
  • Statistical software developers (Masters in
    Statistics)
  • Microsoft
  • SAS
  • Data Analysts and Business Intelligence solution
    designers
  • and developers (MBAs and Masters in Statistics)
  • Data Managers (MCAs)
  • Information Technology managers (Engineers and
    MCAs)

25
Execution Approach
  • Set Up BI Platform
  • Build Data Warehouse, including Data
  • Cleansing
  • Data Updated Weekly / Monthly
  • Provide on-line access to Client Managers
  • and Agency Experts
  • Theme based Analytics Services
  • Results to be Published on BI Platform

26
Critical Success Factors
  • Executive sponsorship is key for corporate
    support
  • Decisive project management
  • Proactive management of scope
  • Meeting deliverables
  • Understanding the solution is evolutionary
  • Dedicated project team resources
  • Data quality extracted from source systems

27
Primary factors impacting the length of a DWBI
project
  • In general, a DW BI Project will be of shorter
    duration and will more likely be successful if
  • A predefined data model, specific to the
    industry, is used,
  • the team is skilled and committed,
  • the team includes end users who understand the
    business processes and their data,
  • there is a clear, valuable objective of the
    project,
  • executive level support is strong,
  • the source system(s) is well-defined and
  • the technical support team is strong (data
    integration, data modeling)

28
Typical BI DW projects risks
  • Project scope not defined well
  • Bad communication
  • No decisions decision escalation processes
  • Lack of or little management support
  • Customer team availability
  • Incomplete or missing data sources

29
Syscon Experience
  • Syscon brings rich experience in BI-DW space with
    several man-years of design and development
    experience. Important projects executed
  • Target, Profit Logic End to End BI Consulting
    and solution delivery.
  • Bharat Petroleum, India monitoring or refinery
    production and inventory movement.
  • One of the largest news papers in India
    monitoring of advertisement share of different
    media / publishers.
  • Large hotel in India monitoring of occupancy,
    customer acquisition / churn and profitability.
  • HR Management for a large Software company in
    India monitoring manpower addition, churn,
    deployment and movement.

30
Current Projects in India
  • Aditya Birla Retail Ltd.- Creation of a
    integrated BI platform and portal.
  • Shoppers Stop Ltd.- BI Analytical tool for the
    study of re-order behavior.
  • Planet M End to End to BI Platform.

31
Fast Growing Retailer in India
  • Case Study

32
Fast Growing Retailer in India
  • Case Study

33
Goals of Loyalty Program
  • Increase Memberships
  • Increase Sale Value Per Member per Month
  • Increase Realization per Bill
  • Increase in Basket Size
  • Promote purchase of higher value items
  • Promote sales of Private Label products

34
Service Level Established
Service (Measure) Level Established
Upload Sales Data (Days from Receipt) 1 (Monthly should be weekly)
New Report (Days from Request) 1
On-line Access to BI Platform 24x7
Performance Analysis Reports Weekly
Progress Report Weekly
35
Contribution by Top 25 Cities/Stores to Membership
36
Which Cities/Stores are High Performing?
37
Which Cities/Stores Give High Value per Bill?
Note High Sales Value Cities do not give High
Value per Bill
38
City A Membership has stopped Increasing but
Sales to Members is Increasing
39
Average Sales Value per Member
40
Delhi Average Sales Value per Member
41
Trend in Each Category
42
Males are More Likely to Buy Own Label
43
Growth in Sales by Division and Top Selling Sub
Categories
44
Some examples of report generations
Report Name Store Classification Report Store Classification Report Store Classification Report
Frequency Weekly / Monthly Weekly / Monthly
Report Structure Report Structure
  Total No of stores Total No of stores Total No of stores Total Existing Stores Total Existing Stores Total Existing Stores Total New stores Total New stores Total New stores Stores gt 6 months Stores lt 6 months
Zone / Region Budget Actual Variance Budget Actual Variance Budget Actual Variance Stores gt 6 months Stores lt 6 months
Zone / Region Budget Actual Variance Budget Actual Variance Budget Actual Variance Actual Actual
Total                      
ROI                      
South                      
45
Thank You
46
Contact
  • Mr. Nilay Jhaveri
  • Mobile91 - 9820036140
  • E-mail nilay_at_sysconinfotech.com
  • Mr.Anish Pillai
  • Mobile91 - 9820081957
  • E-Mail anish_at_sysconinfotech.com
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