Broad adoption

“Customers in the Magic Quadrant survey report that their Microsoft

average deployment sizes are now larger than any other vendor in

the survey in terms of users.”

“Use of OLAP functionality by Microsoft customers is more than

double that for the rest of the survey respondents.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Broad adoption

“Customers in the Magic Quadrant survey report that their Microsoft

average deployment sizes are now larger than any other vendor in

the survey in terms of users.”

“Use of OLAP functionality by Microsoft customers is more than

double that for the rest of the survey respondents.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Large ecosystem

"Wide availability of skills is among the top reasons customers select Microsoft over competing vendors.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Broad adoption

“Customers in the Magic Quadrant survey report that their Microsoft

average deployment sizes are now larger than any other vendor in

the survey in terms of users.”

“Use of OLAP functionality by Microsoft customers is more than

double that for the rest of the survey respondents.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Large ecosystem

"Wide availability of skills is among the top reasons customers select Microsoft over competing vendors.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Highest rated infrastructure and development tools

“Microsoft customers rate its BI platform infrastructure and development tools among the highest

compared to other vendors, and a higher percentage of customers use them extensively.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Highest rated infrastructure and development tools

“Microsoft customers rate its BI platform infrastructure and development tools among the highest

compared to other vendors, and a higher percentage of customers use them extensively.”

Source: Gartner Magic Quadrant for BI Platforms, 2011

Build on the strengths

and success of Analysis

Services and expand its

reach to a much

broader user base

Build on the strengths

and success of Analysis

Services and expand its

reach to a much

broader user base

Embrace the relational

data model – well

understood by

developers and IT Pros

Build on the strengths

and success of Analysis

Services and expand its

reach to a much

broader user base

Embrace the relational

data model – well

understood by

developers and IT Pros

Bring together the

relational and

multidimensional

models under a single

unified BI platform –

best of both worlds!

Build on the strengths

and success of Analysis

Services and expand its

reach to a much

broader user base

Embrace the relational

data model – well

understood by

developers and IT Pros

Bring together the

relational and

multidimensional

models under a single

unified BI platform –

best of both worlds!

Provide flexibility in the

platform to suit the

diverse needs of BI

applications

Build on the strengths

and success of Analysis

Services and expand its

reach to a much

broader user base

Embrace the relational

data model – well

understood by

developers and IT Pros

Bring together the

relational and

multidimensional

models under a single

unified BI platform –

best of both worlds!

Provide flexibility in the

platform to suit the

diverse needs of BI

applications

Team BI

PowerPivot for SharePoint

Personal BI

PowerPivot for Excel

Organizational BI

Analysis Services

Feels like

Excel

PowerPivot for Excel BI Development Studio

Information Workers BI Developers

Personal BI Team BI Organizational BI

One file,

Save to

SharePoint

Optimized for

Excel power

user

Rapid

response to

business

problems

Solutions live

for weeks or

months

Feels like Visual

Studio

Optimized

for BI Pros

Teams building BI

solutions

Source Control,

TFS

Large data

volumes

It’s a project

(business case,

budget, dates)

Deployment

scripts, versions

Third-party

applications

Reporting

Services Excel PowerPivot

Databases LOB Applications Files OData Feeds Cloud Services

SharePoint

Insights

SQL Server Dynamics CRM

End

User

Model

Developer

SQL Server Dynamics CRM

End

User

Model

Developer

Flexibility Richness Scalability

of the Semantic Model Across BI Spectrum

Team BI

Our Context

BI Solution created by

power user. Context is

for a small team & it’s

managed on a server.

Personal BI Corporate BI

My Context

BI solution created by

user. Context is only

for user & exists as

document.

The Org’s Context

BI Solution created by IT,

Established corporate

context & is reusable,

scalable and backed up.

PowerPivot for Excel PowerPivot for SharePoint Analysis Services

Empowered Aligned

Data quality problems cost U.S. businesses more than $600 billion a year.

Data Warehousing Institute (TDWI)

Costs associated with bad data include: •••••

Data Quality Issue Sample Data Problem

Format Do values follow consistent formatting

standards ?

Telephone number formats:

xxxxxxxxxx,

(xxx) xxx-xxxx

1.xxx.xxx.xxxx, etc.

Standard Are data elements consistently defined and

understood ? ‘Gender code’ = M, F, U

‘Gender code’ = 0, 1, 2

Consistent Do values represent the same meaning ? How is revenue presented ?

Dollars, Euro, Both?

Complete Is all necessary data present ? 20% of customers’ last name is blank,

50% of zip-codes are 99999

Accurate Does the data accurately represent reality or

a verifiable source?

A Supplier is listed as ‘Active’ but went out

of business six years ago

Valid Do data values fall within acceptable ranges? Salary values should be between

60,000-120,000

Duplicates Data appears several times Both John Ryan and Jack Ryan appear in

the system – are they the same person?

Data quality management entails the establishment and deployment of:

Roles

Responsibilities

Policies

Procedures

Technology

People Technology Processes

Data Quality Services (DQS) is a

Knowledge-Driven data quality solution,

enabling IT Pros and data stewards to easily

improve the quality of their data

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Integrated

Profiling

Progress

Notifications

Status

Build

Use

DQ Projects

Knowledge Management

Knowledge

Base

Enterprise

Data

Reference

Data

Data Quality Knowledge Base (DQKB)

Matching Policy

Domains

Composite Domains

Matching Rules

Reference Data Services

Composite Domain Rules

Value Relations

Reference Data Services

Domain Rules

Term-based Relations

Values

Windows Azure Marketplace™ Data Market

Cleanse and enrich data with Reference Data Services from DataMarket

DQS Data Store

Website that contains DQS knowledge available for downloading

3rd Party Reference Data Providers

Open integration with external 3rd party reference data providers

Organization Data

Create domains from your own data sources

Out of the Box Knowledge

A set of data domains that come out of the box with DQS

•••

Knowledge Base

Batch Cleansing - Using SSIS

Matching Policy

Reference Data Definition

SSIS Data Flow

Source DQS Cleansing

Component

SSIS Package

Destination

DQS server

Values/Rules

Client Tools Analytics, Reports, Scorecards,

Dashboards, Custom Apps

Data Sources Databases, LOB Applications, OData Feeds,

Spreadsheets, Text Files

Team BI

PowerPivot for SharePoint

Personal BI

PowerPivot for Excel

Organizational BI

Analysis Services

Flexibility Richness Scalability