Introduction to Advanced Analytics with SharePoint Composites

Introduction to Advanced Analytics with SharePoint Composites

Mark Tabladillo Ph.D. – SQL Server MVP

June 21, 2014

About MarkTab

2

• Atlanta 20 Years

• Georgia Institute of Technology

• SAS and Microsoft SQL Server – Training and Consulting

• Currently employed by SolidQ http://solidq.com

• Website: marktab.net

• Twitter @marktabnet

• Today’s slides were derived from Microsoft’s SQL Server 2014 Developer Training Kit

http://solidq.com/

Today’s Slides

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• Heavily borrowed from Microsoft’s SQL Server 2014 Developer Training Kit: http://www.microsoft.com/en-us/download/details.aspx?id=41704

• See my past slidedecks: http://slideshare.net/marktab

http://www.microsoft.com/en-us/download/details.aspx?id=41704

http://slideshare.net/marktab

Source: Big Data & CIO Adoption Quantitative Research, Sept 2012, Microsoft

Challenges to unlocking data insights

Integration with existing tools

41%

Security & manageability

37%

Lack of skills & knowledge

59%

Connected devices per adult

4.3

Self-service BICorporate BI

Evolution of BI

Evolution of BI

Niche Startups

Self-service BICorporate BI

15 years of innovation

SharePoint Composites

9


10


11

“Like T-Shirts:

Small, Medium and Large”


12

Version Number of employees

Type Amount of Code

Expense report features

Time to complete

Comments

1.0 1 to 25 Small Business

EnterpriseTeam

None Mileage re-

imbursement

automatically calculated

based on a list, list form, and formulas

Two days A quick solution

1.1 26 to 50 Small Business

EnterpriseWorkgroup

None Trip re-imbursement

based on an InfoPath

form with validation and rules

Two weeks An enhanced

solution

1.2 51 to 200 Midsize Business

EnterpriseDepartment

Low InfoPath form

converted to an Excel

template; Document

Information Panel;

reporting with Excel Services.

Two weeks A further enhanced

solution

2.0 201 to 500 Midsize Business

EnterpriseDivision

Custom Web

Part and Workflow action.

Enhanced user interface

with advanced approval workflow.

One month A major

improvement

expanded to more employees

3.0 1,001 plus Large Enterprise A complete,

managed code solution

Integrated, company-

wide expense report system

Four months A robust, scalable solution

Powerful, familiar BI tools for everyone

Connect your data across premises, cloud, and devices


Q&A

Self-service BIThe familiarity of Office and the power of the cloud

Empower users with self service in Excel


Advanced analytic tools for data scientists

• Advanced descriptive analytics (e.g. clustering algorithm in SQL Server Analysis Services)

• Predictive analytics (Neural Nets, Regression, Decision Tree, Time Series, Naïve Bayes algorithms in SQL Server Analysis Services)

• Further advanced analytics (Semantic Search and Geospatial Data and functions in SQL Server 2012)

• Big Data analytics(Hadoop integration)

Data mining add-in for business analysts

• Ease of use

• Rich data mining

• Scalable

Leader in business intelligence and analytics

Microsoft Azure Machine Learning

28

Power Query

Powerful self-service BI with Excel 2013

Power Query

Enable self-service data discovery, query, transformation and mashup experiences for Information

Workers, via Excel and PowerPivot

Discovery and connectivity to a wide range of data sources, spanning volume as well as variety of data.

Highly interactive and intuitive experience for rapidly and iteratively building queries over any data source, any size.

Consistency of experience, and parity of query capabilities over all data sources.

Joins across different data sources; ability to create custom views over data that can then be shared with team/department.

Power Query

• Excel add-in to enhance self-service BI

• Identify and import external data:• Relational dB

• Excel

• Text

• XML

• OData

• Web pages

• Hadoop HDFS

• Discover relevant data by using search

• Combine and transform multiple data sources

Discover, combine, and refine Big Data, small data,

and any data with Data Explorer for Excel

S

Data sources

Windows Azure

Marketplace

Windows Active

Directory

Azure SQL

DatabaseAzure HDInsight

PowerPivot


Introducing PowerPivot

• PowerPivot empowers business users to create self-service BI data models in Excel

‐ Achieved with a client-side version of SQL Server Analysis Services, known as the In-Memory Analytics Engine

‐ Can efficiently store data volumes far greater than what Excel worksheets can achieve

• A separate window can be used to load, explore, relate, and enrich data with calculations

• Can import and relate data from corporate, local, and ad hoc data stores

• In Excel 2013 Professional Plus edition, PowerPivot is installed, but not enabled

PowerPivot for SharePoint

• PowerPivot for SharePoint extends SharePoint 2013 and Excel Services to add server-side processing, collaboration, and document management support for the PowerPivot workbooks published to SharePoint

• The PowerPivot Gallery, a special type of document library, is provided to browse published PowerPivot workbooks and to configure automatic data refresh

• The PowerPivot Service deploys the embedded data model to an Analysis Service instance within the SharePoint farm, and Excel Services is used to query the deployed data model

• Data connections can be defined to query the PowerPivot data model by using the document URL

Power Map

Power Map for Microsoft Excel enables information workers to discover and share new insights

from geographical and temporal data through three-dimensional storytelling.

What is Power Map?


Power View


Introducing Power View

• Power View is an interactive data exploration, visualization, and presentation experience

‐ Highly visual design experience

‐ Rich meta-driven interactivity

‐ Presentation-ready at all times

• It delivers intuitive ad-hoc reporting for business users

• Reports can be based on tabular data models, including PowerPivot data models

• It is now also available in Excel 2013, and with new features:

Power View for multidimensional models

• Power View on Analysis Services via

BISM

• Native support for DAX in Analysis

Services

• Better flexibility: Choice of DAX on

Tabular or Multidimensional

(cubes)

Give people powerful, familiar BI tools

Demo

The

Microsoft

Data

Platform

Complete and consistent data platform