#mstrworld. No Data Left behind: 20+ new data sources with new data preparation in MicroStrategy 10

Transcription

1 No Data Left behind: 20+ new data sources with new data preparation in MicroStrategy 10

2 MicroStrategy Analytics Agenda Product Workflows Different Data Import Processes Product Demonstrations Data Preparation Product Demonstration Next Steps Q&A 2

3 MicroStrategy Analytics From Connect to Collaborate in Minutes CONNECT DISCOVER SHARE CONNECT DATA MODELING DISCOVER SHARE 3

4 No Data Left Behind Databases (Row\Columnar), Warehouse, Appliance, OLAP, SaaS based apps, Cloud sources, Social Data, User/departmental data. In-memory 4 4

5 Simpler and Richer Data Access Files Enhanced Import of Excel, CSV and Text Delimited Simple, Easy to use Drag & Drop Interface Option to add multiple files Support for all Text Delimiter files and Quotes (Single, Double) Browse a folder from a personal computer OR from server 5

6 Demo - Files

7 Simpler and Richer Data Access Web Scraping Import data from any HTML page Automatically fetch data from HTML pages Search for <table> Tags and scrap data into a tabular form 7

8 Simpler and Richer Data Access Public Data Public Data Connector allows user to enrich their data with external data Search Url Matches Preview & Scrape 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. 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. Mouse over on any URL highlights the sample data in that URL Data is scraped from wiki into tabular data. 8

9 Demo Public Data/Web Scraping

10 Simpler and Richer Data Access Files from SaaS apps Enhanced Import of importing files from Dropbox, Google Drive Use Native API to fetch files Easy to use Browser, with Drag & Drop interface Schedule, Refresh data oauth support for DropBox, GoogleDrive. No need for setup for MSTR Desktop. Support for your own oauth Application 10

11 Simpler and Richer Data Access Clipboard Clipboard allows users to quickly type Lookup Data, or Paste personal data Spreadsheet like interface to quickly type data insert row\column, delete row\column Option to Edit, Wrangle, Schedule, Refresh Clipboard data 11

12 Simpler and Richer Data Access Database Enhanced Import of importing Tables from Databases, Warehouse, Appliances v10 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 12

13 Simpler and Richer Data Access Database Graphic Query Interfaces - Access data without writing any code

14 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 2 Step Process to fetch data from BI tools 1 2 Create a Connection using your credentials Paste the Report Web-service URL 14

15 Simpler and Richer Data Access Twitter Social Data Microstrategy 10 allows users to get tweets via the Twitter Search api 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 15

16 Demo Twitter

17 MicroStrategy Analytics Agenda Brief guide through MicroStrategy Analytics Platform Products Offering and Feature Comparison Product Workflows Data Import Product Demonstration Data Preparation Product Demonstration Next Steps Questions 17

18 Data Modeling Building a MSTR Schema is easier than ever Multi-source: Combine Data from multiple sources into a single dataset 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 18

19 New Integrated Data Preparation Capability Powerful Data Preparation for More Accurate Analysis Empowering data analysts to deliver deeper insights with intuitive and integrated data wrangling capabilities Data Preparation Streamlined Workflows to parse and prepare data Hundreds of Inbuilt Functions to profile and clean data Local / URL Files Multi-Table In-Memory Support from different sources Hadoop Automatically parse and prepare data with every refresh Salesforce Create Custom Groups On the fly and without coding Twitter/Facebook

20 User experience for Data Wrangling Wrangling Functions Predictive Transformation based on User Interactions History\Script 20 Facets for Data Profiling

21 Break down of the Data Wrangler Interface 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 Transformation Functions 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.. History Script 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 21

22 Demo Data Wrangler

23 Enterprise Data Discovery Hands-On Workshop Intro to Enterprise Data Discovery Access Any Data and Prepare for Analysis Analyze Your Data and Visualize the Insights Share Your Dashboard and Collaborate 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

24 Thank you