Business Analytics to solve your Business Problems

Day 1 - Analytics to solve your Business Problems
www.Enterprizeerp.com

Slide | 2EnterprizeERP Corporate Presentation
Corporate Background
•A Group of Microsoft Business Intelligence Consultants.
Incorporated in Downers Grove.IL With offices in: Chicago, Singapore,
Pune, Hyderabad and Chennai.
Corporate
•Strategic Assessment, Proof of Concept, Implementation and
Development, Upgrade and Enhancement, Design and Performance
Review, Application Maintenance, Remote DBA Consulting
Services & Solutions
•Partners – Microsoft , SQL PASS, NMUG Partner, MicroStrategy,
Oracle OBIEE, OFSAA, Hyperion, IBM Cognos, Birst, Informatica,
Infor, Mentalist Blogging Partner and DataStage
Partnerships
•SQL Server 2008 R2, 2012 & 2014
•MS BI – SharePoint BI,SSIS, SSRS, SSAS, MDS, DQS,
•Power BI - Power Pivot, Power Query , Power View , Power Map
Technologies
•Retail, Discrete & Process Manufacturing, Eng. & Construction,
Insurance and Oil & GasIndustries

When & What in Webinar Day 2 & 3WebinarDay2WebinarDay3
Register here Now: http://www.enterprizeerp.com/MS-BI-Webinar-Series/
How to Use Excel as BI Tool using Power BI
Microsoft Power BI for Office 365 is a collection of features and services that enable you to
visualize data, share discoveries, and collaborate in intuitive new ways. Microsoft Power BI for
Office 365 provides organization-wide self-service business intelligence (BI) infrastructure, and
brings Excel workbook sharing, online collaboration, and IT infrastructure together into a
holistic offering. We will touch base on all area of Microsoft Power Business Intelligence such as
PowerQuery, PowerPivot, PowerView, Power Map, Power QnA
| Date : 29th May 2014 | Online | Free |
| Date : 12th June 2014 | Online | Free |
Introduction & Collaboration of Microsoft Business Intelligence
with SQL Server, SSIS, SSRS & SSAS
How MS BI empower users to gain access to accurate, up-to-date information for better
decision making in an organization. We will dive into SSIS as ETL Solution Using Microsoft SQL
Server Integration Services and Implementing and Maintaining Integration Services. In addition,
we will extensively cover how to Design an Analysis Solution Architecture Using Analysis
Services and Implement and Maintain Analysis Services
SSIS,SSRS,SSAS,MDS and DQS

About Us
2262, Petworth Court, Unit 202 C
Phone : 1 (630) 649 9235, Fax : 1 (630) 689 9455
Ram.Rishi@EnterprizeERP.com
Ram Rishi
Managing Partner
Phone : 1 (630) 649 9235, Fax : 1 (630) 689 9455
luna.dubey@enterpriseone.com
Luna Aryal Dubey
Project Manager
Phone : 1 (630) 649 9235, Fax : 1 (630) 689 9455
Laxmi.Kanth@EnterprizeERP.com
Laxmi Kanth
Business Development Manager
Phone : 1 (630) 649 9235, Fax : 1 (630) 689 9455
Vishal.Pawar@EnterprizeERP.com
Vishal Pawar
Practice Head, Microsoft BI

• 7 + years of experience in Microsoft BI Stack
• Practice Head, Microsoft BI in EnterprizeERP Consultancy Service
• Currently working in The Most Group in MS BI Solutions Architecting
• MS BI Consulting partner of Right Click Info
• Professional Microsoft BI Trainer Mentalist Network
• NMUG Community Leader , Speaker
• Microsoft Community Representative for Navi Mumbai region.
• SQL PASS Chapter Lead for Mumbai & Navi Mumbai
• MCTS: Microsoft® Certified Technology Specialist -SQL Server 2008,Business Intelligence
Development and Maintenance
• MCSA: Microsoft® Certified Solutions Associate
• CSM: Certified Scrum Master from Scrum Alliance, US
• BE-Computer Science & Engineering , RAIT , Mumbai
• MBA-Information System, Arianth College , Pune
• Blogging at http://bimentalist.com , http://sqlmentalist.com
• BI Articles :: 350+ , SQL Article – 400+, SQL Script – 300+
About Presenter – In Details

Agenda – Analytics Solution in 12 Steps
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What is Business Analytics ?
Why we need it ?
Identify your Focus Area
and Target Applications
Importance of Business
Analytics with different Roles
Confirming your Business Goal
with value of Business Analytics
Differentiating Business
Analysis , Analyst & Intelligence
What world is doing for
Business Analytics Problems
Segregate solution with Data
Discovery , Analytics & Science
Gathering information with
All Available Data Source
Developing Business Analytics
Framework & Components
Improvising Maturity Level of
Business Analytics
Get Connected with Expert
Team , Who know technology !
Developing Visualization with
Best User Experience

Step 1 : Why & What
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Why we need it ?
Business Analytics

What is Business Analytics
Part of routine daily, monthly, and quarterly
processes — not a sporadic or exception based
exercise
Peel the onion answers to some questions
generate more question - dive deeper and
deeper into Data
Explore the unknown, search for new patterns
and new findings and new metrics
Gain broader and deeper insight and
understanding into past performance
Stay focused on goal to improve business
planning and overall business performance
Investigate exceptions and anomalies, research
hypothesis

Analytics Tag Cloud , At one Glance

What Business Analytics Answers .. ?
After making the changes, are the desired outcomes as expected?
What factors can influence a better outcome for business?
Do we see a trend or pattern emerging?
What is happening now?
When and where has it happened?
What are the factors that led it to happen?
What has happened?

Why we need Business Analytics
1.Consistent Data
2.Extraction is planned,
organized, structured and
primarily automated
3.Drill down to pinpoint
problems/opportunities
4.Efficiently arrive at sound
business decisions based on
facts validated through
analysis
Missing Data
Inconsistent Extraction
processes with require
incremental changes
Filtering of data done
manually at many levels
Data integration is time
consuming and leaves
limited time for analysis
|DesiredState|
|CurrentState|

Different Types of Analytics
Data analytics
• A process of inspecting
• Cleaning, transforming
• Modelling data
• Discovering useful information
• Suggesting conclusions, and
• Supporting decision making
Predictive analytics
Business Analytics
• Variety of techniques
• Current and Historical facts to make
predictions about future
• Actuarial science, marketing, financial
services, insurance,
telecommunications, retail, travel,
healthcare, pharmaceuticals
Business analytics (BA) refers to the skills, technologies, applications and practices
for continuous iterative exploration and investigation of past business performance
to gain insight and drive business planning.
Business analytics focuses on developing new insights and understanding of
business performance based on data and statistical methods.

Step 1 : Completed
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Why we need it ?
Business Analytics

Step 2 : Focus Area & Target Application
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Why we need it ?
Business Analytics

Identify your Analytics Focus Area
• Focus areasIndustry
• Integrated enterprise view of risk and finance and a
single view of the customerBanking
• Performance optimization, open government, fraud,
and risk managementFederal
• Customer transformation, sales force effectiveness,
distribution strategy, underwriting, and excellenceInsurance
• Physician targeting, managed markets, safety
analytics, and generic drug competitionLife Sciences
• Healthcare reform, fraud, quality of care
improvement, and complianceHealthcare
• Performance optimization, cost reduction, fraud
management, and workforce planningState Government

Target Application for Analytics
Fraud Mitigation Employee Satisfaction
Claim Analytics Call Center Optimization
Innovation e-Discovery
Clinical Analysis Quality & Safety
Customer Acquisition & Retention M&A Due Diligence
Reputation Management Subrogation & Recovery
Anti-money Laundering Regulatory Compliance

Step 2 : Completed
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Why we need it ?
Business Analytics

Step 3 : Importance of Business Analytics
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Why we need it ?
Business Analytics

Where we spend our Time
Retrieving & Manipulating
Data
Analyzing information &
Decision Making
We spend valuable time and money every day in
ensuring that appropriate business decisions are
based upon solid, accurate data and information.
Analysts typically spend 80% of their time retrieving
and manipulating data and only 20% of their time
using and analyzing the information for decision
making.
Need To Increase
Need To Reduce

Role of Analytics in business
Maximize its revenue
Minimize its operating
expense
Maximize return on
long term assets
Manage its risk better
The core principle of
business remains the
same irrespective of the
industry.
Every business works on
the following principles
and Business Analytics
helps to achieve them:

Performance Visibility in Analytics
• Revenue Growth
• Operating Margin (%)
• Operating Margin (%)
• Risk Exposure Index
Financial
Performance
Level
• Revenue Dollar
• Overhead Cost Index
• Staff Productivity Index
• Operational
Operational
Drivers Level
• Pricing
• Inventory Management
• Investment
• Risk Assessment
Operational
Factors Level

Step 3 : Completed
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Why we need it ?
Business Analytics

Step 4 : Business Goals and Values
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Why we need it ?
Business Analytics

Business Goal with value of Business Analytics
Maximize Revenue | Reduce Operating |Maximize Return on Long Term Assets | Manage Risk
Revenue Growth:
• Income Statement
• Sales Plan Variance
Operating Margin
• Operational Plan
Variance
Assessment
Efficiency
• Balance Sheet
• Cash Flow
• Treasury
Risk Exposure
Index:
• Risk Management
• Compliance
Management
Financial Analytics
Revenue Drivers
• Market
Opportunity Value
• Customer
Acquisition
• Customer
Retention
• Revenue Value ($)
Expense Drivers
• Supply Chain
Cost Index
• Operation Cost
Index
• Overhead Cost
Index
Long Term Assets
Drivers
• Strategic
Investment ROI
• Staff
Productivity
Index
• IT ROA Expense
Retention
Risk Drivers
• Strategic
• Operational
• Compliance
Operational Drivers Analytics

Business Goal with value of Business Analytics
Revenue Factors
• Market Opportunities
• Competitive Positioning
• Sales Tactics
• Sales Results
• Product and Portfolio
Management
• Pricing
• On Time Delivery
• Service Benchmarks
• Customer Product
Profitability
• Sales Pipeline
• Market Feedback
• Customer Feedback
• Demand Generation
• Product Life Cycle
Management
• Sales Pipeline
• Service Value
Expenses Factors
• Purchasing /
Procurement
• Distribution and
Logistics
• Inventory
Management
• On Time Delivery
Variance
• Production
and Capacity
• Cost and Quality
Management
• Product
Development
• Organization and
Staffing
• Cost and Quality
Management
Variance
• Benefits
Long Term Assets Factors
• Capex and Strategic
Investment
• Balance Sheet
• Market Opportunities
• Competitive
Positioning
• Product Life Cycle
Management
• Organization and
Staffing
• Business Value Road
Map
• Compensation
Variance
• Training and
Development
Risk Factors
• Internal
Environment
• Objective Setting
• Event Identification
• Risk Assessment
• Risk Response
• Control Activities
• Information and
Communication
• Monitoring
Operational Drivers Analytics

Analytics Delivery Medium
3 4
Integrated Corporate
Portal / Intranet
Email
Mobile File System
1 2
• A web portal
• A common corporate
• Like the SharePoint
• Application specific - SAP
• Reports, dashboards, score
cards Have limited size
• Less file size
• Can be available in a portal
• Mobile devices - iPad, iPhone
• Can access these reports
• Interactive
• Have less data volume because
of Limitations in the hardware.
The output of a report could be
saved as Excel, PDF, CSV, or Text
Format in a file system, which is
shared by group of users.

Analytics Delivery Medium
5 6
7 8
Internet Dedicated Device
One Demand Cloud Private Solution System
• Access Analytics via internet
• Access Layer
• On Demand changes
• Easiness in Usage
• Special Device
• Big Screen
• Hardware Improvement
• Real time Analysis
• Cloud ready analysis
• Easy to Subscribe
• Complexity In Manage
• High in Demand
• Security Measure
• Real time analysis
• Output is precious
• Research and development

Data V/S Value in Business Analytics
Data Analytics Capability Value
• Email Text Analytics Sentiment Analytics Customer experience management
• Call logs
• Web logs
• System logs
Sentiment Analytics
Customer Interaction Analytics
Customer experience management
Effective operations management
• Social media
feeds
• Blog feeds
Sentiment Analytics Marketing Analytics
Text Analytics
Monitor the marketing, brand and service
effectiveness
• Device data
• Sensor data
Usage Analytics
Propensity Analytics
Better consumer tracking and offer management
• CRM Marketing Sales Force Customer Service Pricing
Churn
Better consumer tracking and offer management
• Human
Resources
Workforce Analytics Effective management of your human talent.
• Finance Regulatory reporting Asset Valuation Revenue
recognition Risk Analytics Asset analytics
Manage assets, revenues, risks and liabilities for a
stable financial performance.
• Supply
Chain
Inventory analytics Planning & Forecasting
Sourcing & Procurement Logistics & Distribution
Effect channel management and delivery of product
distribution to end consumer.
• Product Product Margin
Product distribution
Effective productive management for better
profitability and revenue

Step 4 : Completed
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Why we need it ?
Business Analytics

Step 5 : Business : Analytics, Analysis & Intelligence
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Why we need it ?
Business Analytics

Business Intelligence V/S Analytics
Business Intelligence
• Oriented to standard and
consistent metrics and analysis
• Focused on dashboards and
predefined reports
• Primarily answers predefined
Questions
• Provides end users indirect raw
data access through cubes,
reports, and summarized data
• Exception based reporting
Business Analytics
• Oriented towards ad-hoc analysis
of past performance
• Focused on interactive and
investigative analysis by User
• Primarily Used to derive new
insights and Understanding
• Explore the unknown and
discover new patterns
• Relies on low-level data to provide
visibility to unexpected activity

Business Analytics, Intelligence & Analysis – Together
Business Intelligence (BI)
Querying, reporting, OLAPs, alerts Can answer questions
such as what happened, how many, how often, where the
problem is, and what actions are needed
Business Analytics
It is Continuous iterative exploration of past business performance
to gain insight and drive business planning BI + additional level of
functionality (forecasting, regression, and modeling) Can answer
questions like why is this happening, what if these trends continue,
what will happen next (predict), what is the best that can happen.
Business Analysis
Its is Set of tasks and techniques used to work as a liaison among
stakeholders in order to understand the structure, policies, and operations
of an organization, and to recommend solutions that enable the
organization to achieve its goals

Step 5 : Completed
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Why we need it ?
Business Analytics

Step 6 : What world is doing for it !
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Why we need it ?
Business Analytics

Step 6 : Completed
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Why we need it ?
Business Analytics

Market Indicators
“By 2014, 30% of analytic applications will use proactive,
predictive and forecasting capabilities”
“The market for BI and analytics is undergoing gradual
evolution.” Gartner. Feb 1st, 2011
“In 2011, the use of analytics as a competitive differentiator
in selected industries will explode”
“The roles of marketing, sales, human resources, IT
management, and finance will continue to be
transformed by the use of analytics”
International Institute for Analytics. Dec 3rd, 2010

Top Initiatives Today: Enterprise

Where We need to Improved Technology Support
Need
Improvement

Top Initiatives Today: Finance

Investment in Business Analytics

When you will start using Analytics

Where Does IT Report?

Influence IT Investments Compared to Two Years Ago

Projected Movement to the Cloud

Step 7 : Data : Discovery, Analytics and Science
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Why we need it ?
Business Analytics

Data Science, Discovery & Analytics
Data Analytics
Data discovery represents a significant change to the way organizations design and
build analytic solutions. This can best be explained using Figure 4, which illustrates
the data flow in a data discovery system.

Benefits of Data Science, Discovery & Analytics
•Reduced costs – stop fraud, reduce risk, identify waste
•Increased revenues – improve customer service and satisfaction
increase customer retention and income
•Improved efficiency – make better business decisions, react faster
to business needs, identify problems before they occur
Business
Analytics
• Improved access to a richer set of information
• Increased insight and knowledge about the
business
• Faster knowledge creation at a lower cost
BIG
Data
• Enhanced analytic processes
• Optimized business processes and new business
opportunities
• Flexibility
• Faster time to value
Data
Discovery

Step 7 : Completed
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Why we need it ?
Business Analytics

Step 8 : Data Source for Analytics
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Why we need it ?
Business Analytics

Various Data Sources
Windows Azure
Marketplace
Windows Active
Directory
SQL Azure Azure HDInsight

Step 8 : Completed
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Why we need it ?
Business Analytics

Step 9 : Frameworks and Components
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Why we need it ?
Business Analytics

A Framework Approach of Analytics

Architecture for different of Business Analytics
Text Analytics
• Social Analytics
• Sentiment Analysis
• Brand Identity
• Product & Brand Affinity
• Reputation Driven Online-
Economy
Segmentation Analytics
• Customer Segmentation in real-
time
• Churn Analysis, Attrition
• Funnel Analysis
• Behavioral Segmentations
Mobile Analytics
• Digital Delivery Channels and
Services
• Property Effectiveness
• Application Analytics
• Ad Analytics
• Geo-Spatial Analytics

Real life industry Analytics needs
Retail –
• Customer Intelligence
• Product Pricing & Store Optimization
• Right budgeting
Finance –
• Right channel adoption
• Intelligent customer service
• Reduce financial risk
Healthcare –
• Right care at the right time in the right setting
• Disease management & Case management
• Removal of behavioral barrier of doctors, patients
Cross Industry –
• Cost reduction & safe revenue
• Regulatory Compliance
• Performance Management
• Risk & Fraud Management

Step 9 : Completed
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Why we need it ?
Business Analytics

Step 10 : Visualization is Key !
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Why we need it ?
Business Analytics

Visualization Tips for Analytics
Be Concise Be Visual
Be Smarter Be Transparent
Be Different Be Accurate
Study data Rank your data
Facts at the top Show, don’t tell

Visualization Tag Cloud , At one Glance

Step 10 : Completed
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Why we need it ?
Business Analytics

Step 11 : Improving Maturity of Business Analytics
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Why we need it ?
Business Analytics

Analytics Maturity Model with BI

Step 11 : Improving Maturity of Business Analytics
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12
Why we need it ?
Business Analytics
11

Step 12 : Connect with Expert
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12
Why we need it ?
Business Analytics
11

Get connected with Analytics Experts

Step 12 : Completed
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Why we need it ?
Business Analytics
11 12

Business Analytics to solve your Business Problems

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