#mstrworld

No Data Left behind: 20+ new data sources with

new data preparation in MicroStrategy 10

Laurent Lee-A-Sioe, Manager Avant-Vente

#mstrworld

MicroStrategy Analytics

Agenda

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• Product Workflows

• Different Data Import Processes

• Product Demonstrations

• Data Preparation

• Product Demonstration

• Next Steps

• Q&A

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MicroStrategy Analytics

From Connect to Collaborate in Minutes

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CONNECT DISCOVER SHARE CONNECT DATA MODELING DISCOVER SHARE

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In-memory

Databases (Row\Columnar), Warehouse, Appliance, OLAP, SaaS based apps, Cloud

sources, Social Data, User/departmental data.

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No Data Left Behind

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Simpler and Richer Data Access – Files

Enhanced Import of Excel, CSV and Text Delimited

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Support for all Text Delimiter files

and Quotes (Single, Double)

Simple, Easy to use Drag & Drop Interface

Option to add multiple files

Browse a folder from a personal

computer OR from server

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Demo - Files

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Simpler and Richer Data Access – Web Scraping

Import data from any HTML page

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http://en.wikipedia.org/wiki/List_of_largest_UK_by_population

Automatically fetch data

from HTML pages

Search for <table> Tags

and scrap data into a

tabular form

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Search

• Type a string and a list of

potential string matches are

displayed.

• For example – Typing GDP

can automatically point to

suggestions like GDP of US

or GDP growth, GDP per

capita.

Simpler and Richer Data Access – Public Data

Public Data Connector allows user to enrich their data with external data

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Url Matches

• Based on the string searched,

MicroStrategy automatically

fetches all potential Wiki

URLs that contain that string

• In future, we will extend to

other external sources like

data.gov et al.

Preview & Scrape

• Mouse over on any URL –

highlights the sample data in

that URL

• Data is scraped from wiki into

tabular data.

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Demo – Public Data/Web Scraping

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Simpler and Richer Data Access – Files from SaaS apps

Enhanced Import of importing files from Dropbox, Google Drive

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oAuth support for DropBox,

GoogleDrive. No need for setup

for MSTR Desktop.

Use Native API to fetch files

Easy to use Browser, with Drag &

Drop interface

Schedule, Refresh data

Support for your own oAuth

Application

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Simpler and Richer Data Access – Clipboard

Clipboard allows users to quickly type Lookup Data, or Paste personal data

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Spreadsheet like interface to

quickly type data – insert

row\column, delete row\column

Option to Edit, Wrangle, Schedule,

Refresh Clipboard data

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Simpler and Richer Data Access – Database

Enhanced Import of importing Tables from Databases, Warehouse, Appliances

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New in v10 is the ability to Pick

multiple Tables and import it into

a dataset.

One click menu option in Build a

Query connector makes it easy to

construct complex queries

v10

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Graphic Query Interfaces - Access data without writing any code

Simpler and Richer Data Access – Database

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Simpler and Richer Data Access – BI Tools

Ability to Import data from other BI tools (SAP BOBJ, OBIEE, Cognos) allows MSTR 10 to

compliment existing BI investments in organizations

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Create a Connection using your credentials

Paste the Report Web-service URL

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2

2 Step Process to fetch data from BI tools

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Simpler and Richer Data Access – Twitter Social Data

Microstrategy 10 allows users to get tweets via the Twitter Search api

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Tweet Analysis - Build Dashboard

with sample data, aimed at quick &

dirty market segmentation

Use the Replacement Dataset feature

to point the sample Dashboard to a

larger volume of Tweets

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Demo – Twitter

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MicroStrategy Analytics

Agenda

17

• Brief guide through MicroStrategy Analytics Platform

• Products Offering and Feature Comparison

• Product Workflows

• Data Import

• Product Demonstration

• Data Preparation

• Product Demonstration

• Next Steps

• Questions

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Data Modeling – Building a MSTR Schema is easier than ever

Multi-source: Combine Data from multiple sources into a single dataset

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Automatically create

Attributes, Metrics, Joins

and relationships

Create Multi-form Attributes

Create\Edit Relationships

across attributes

Change Datatypes,

Rename, Map to Project

Attributes to inherit Project

security Filters, et al

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Powerful Data Preparation for More Accurate Analysis

Empowering data analysts to deliver deeper insights with intuitive and integrated data

wrangling capabilities

Streamlined Workflows to parse and prepare data

Hundreds of Inbuilt Functions

to profile and clean data

Multi-Table In-Memory Support from different sources

Automatically parse and prepare data with every refresh

Create Custom Groups On the fly and without coding

Local / URL Files

Hadoop

Data Preparation

New

Inte

gra

ted D

ata

Pre

para

tion C

apabili

ty

Salesforce

Twitter/Facebook

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User experience for Data Wrangling

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Wrangling Functions Predictive Transformation

based on User Interactions History\Script

Facets for Data Profiling

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Break down of the Data Wrangler Interface

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History Script Transformation Functions Predictive Transformations

• Predictive Engine that

translates User interactions as

Regular Expression patterns

• How does it work?

– Generate candidate

suggestions patterns using

user selects some Strings

– Construct Regex pattern for

each candidate suggestion.

For example - /[a-z] +

Virginia/

– Rank suggestions

• Library of functions aimed at data

cleaning, transformation

– Remove Whitespaces

– Split By, On, Before\After

– Extract By, On, Before\After

– Find and Replace

– Duplicate

– Padding

– Concatenating

– And many more..

• Record all User interactions

as a Descriptive language.

• Support Undo\Redo

• Reuse script during Dataset

Refresh

• Export\Import Script so that it

can be applied to other

datasets

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Demo – Data Wrangler

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Enterprise Data Discovery Hands-On Workshop

Intro to

Enterprise Data Discovery

Advanced Enterprise

Data Discovery

• Connect to Advanced Data Sources

• Scrape data from web pages

• Create Advanced Metrics & Integrate D3 library

• Connect to Server for Governed Data Discovery

• Access Any Data and Prepare for Analysis

• Analyze Your Data and Visualize the Insights

• Share Your Dashboard and Collaborate

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Thank you