Salient BI concepts, popular products, typical services required to create a robust information management strategy in an organization. The document also talks about the various components of a BI environment present in an organization
2. Contents
• BI – What, Why and Who
• Components of BI
• Various Products
• Typical Services
3. What is Business Intelligence
(Analytics)
A set of tools, technologies, theories,
methodologies, procedures to
transform raw data (usually from
operational applications) into
meaningful and useful information for
business purposes (decision making,
statutory reporting)
BI leads to:
o fact-based decision making
o “single version of the truth”
4. Information – the most valuable asset
While CIOs are aware that effective information
management results in faster decision-making,
most organizations struggle with their initiatives
around data governance, data integration,
data quality, master data management and
data virtualization.
Effective usage of tools and processes with
availability of right services can help
organizations derive great benefits from its most
valuable asset
5. Benefits of Information Mgmt.
Consolidating and propagating accurate master
data can
o reduce operational costs,
o increase supply chain and selling efficiencies,
o improve customer loyalty, and
o support sound corporate governance.
Priorities like business analytics, business applications,
and Big Data, will not reach their full potential
without top-notch information management that
integrates business and IT efforts
6. It’s about users
Top Execs
Need latest
information on
mobile device
Need to be more
responsive to
future business
trends
Operations
I need to know
the impact of the
latest campaign
on our brand via
social media?
Marketing
Need to
understand
activity and
channels
Sales
Finance
Need financial
performance
monitoring and
management
10. Products – ETL & BI
Data Integration BI and Analytics
Source: Gartner MQ
11. Advent of Data Discovery /
Visual Analytics Tools
Vocal, demanding and influential business users are
increasingly driving BI purchasing decisions, most
often choosing easier to use data discovery tools
Source: Gartner MQ
12. Data Discovery Tools
• Can work directly on source systems
• Typically have many native business
connectors to applications and databases
• Can also query data warehouses and OLAP
cubes and create dashboards from
collection of sources on the fly
Empowering end users reducing dependence on
IT
13. Source
Systems ETL - DQ Repositories
Identify Sources and
Manage Metadata
ETL and Data Quality
To Load clean data to
MDM or DW
Provide information
to other
applications
including dash-
boarding, reporting
and analytics
Identify Sources Get and Clean Publish
Consumer
Applications
Data Management Services
14. Get Data Sources
o Information Governance Strategy
o Identify source systems , destination systems
o Information usage needs
o Data types, update quality
o Identify Sources, data types
o Identify fields, strengths and weakness of data sources
o Identify source metadata and map them to common business
/ technical metadata
o Identify fields which are important for analysis and
in line with Information Objectives
o Identify transformation requirements
o Manage metadata – business and technical
Strategy
Source
Systems
Sources ETL
Source
Know your data
Destination
Fields
15. Clean and upload
o Extraction from source systems
o Standardizations- keep updating lookup
tables
o Transformations
o Defining of jobs, scheduling them and
ensuring execution
o Iterative cleaning and analysis of data
o Definition of standardization routines
o Update Lookup tables
ETL
Data
Quality
ETL
Reposi
tories
Clean
ETL - DQ
Consistent single version of information
creation in MDM or Data warehouse / Data-
mart
16. Data Modeling, BI and Analytics
o Define Data models for ETL destinations
o Define dimensions and hierarchies
o OLAP and fact table sources for reporting
o MDM models
o Make all information available for ad hoc reporting or visual
analytics
o Design reports and dashboards
o Design interfaces for Information Services
o Predictive analytics – propensity of an event
happening based on previous data
o Data mining / text mining for keyword densities and
analysis
Data Models
Reporting
Repositories
Information
Consumers
Publish
Define and Maintain
Information Services
Analytical
Services
17. Services Framework
Source System
- Identification
- Mapping
- Business
Metadata
Creation and
Standardization
ETL and DQ
-ETL Jobs
-Data Quality
-Standardizations
-Transformations
DW/MDM System
-Data Models
-Schemas
-Metadata
Management
Data Services
-Definition
-Standardization
-Maintenance
Reporting
-Report
Definition
Predictive
Analytics
-Statistical Model
-Forecasting and
Prediction
Information Management Strategy & Architecture
18. Technochimes Offers
• Best of breed technologies for client’s
particular needs
• Services around information
management for information strategy,
data quality, data integration,
technologies, reporting and analytics
19. Tools and Capabilities
Area Products/Skills
ETL
Data Quality
DW/OLAP/MDM
Reporting
Visual Analytics
Predictive
Analytics
20. BI / Analytics – Experience Wheel
Custom
Applications –
development
&
Modernization
Predictive Analytics
BI / Dash-
boarding and
Visual
Analytics
1. US based product company –
product development
2. Application modernization in a
large manufacturing company
3. Application Re-architecture and
SOA based modernization in a
power generation company
1. Clients across US, EMEA, SEA
2. Clients across Pharmaceuticals,
Manufacturing, Retail, Mobile
manufacturer, tobacco, life insurance
and other verticals
3. Risk modeling, Demand Forecasting,
Customer experience assessment an d
many other application areas
1. Multiple projects in large
European telecom
company
2. Solutions in
Manufacturing
companies
3. Data Management for a
global leader in the
mapping and location
intelligence business.
21. About Technochimes
(www.technochimes.com)
Technochimes is an enterprise technology services company
focussed on Social Media, Mobility, Analytics and Cloud( SMAC).
• Technology Solutioning Experience
o 30 years of experience between founders in companies like IBM, HP, TCS,
Cognizant, PwC etc in areas of Technology consulting, Solution
Architecture and IT solution development.
• Client and Partnerships
o Working relationships with organisations like IBM, Netapp, Qlikview, SAP,
etc
• Domain Understanding
o Experience across Govt, Telecom,Banking,Manufacturing, Retail and
Healthcare verticals
• Technochimes is part of Bizight Solutions – a technology marketing
company focused on digital marketing and enterprise technology
services
22. Getting Started
• Free Assessment
• Roadmap /
Architecture / Business
Case
• If already decided:
Tools evaluation,
Demonstration, POC
For Further Information please
contact
Saubhik Mandal
saubhik.mandal@technochimes.com
M: +919810288668