Big Data & Data Science at DesignMind

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See how DesignMind in San Francisco helps clients to fully exploit their Big Data by delivering a complete range of big data solutions.

Technology Business

©2014 DesignMind. All Rights Reserved.
Big Data and Data Science at DesignMind

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©2014 DesignMind. All Rights Reserved.
DesignMind’s Expertise and Offering
Power BI
Applications
Databases
Data Warehousing
Big Data
BI & Data Visualization
Information Sharing & Collaboration
Cloud Computing
Data Science

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©2014 DesignMind. All Rights Reserved.
Our Clients

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©2014 DesignMind. All Rights Reserved.
Agenda
Big Data
Data Science
Big Data and Data Science at DesignMind
Partners & Products
The Team

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©2014 DesignMind. All Rights Reserved.

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©2014 DesignMind. All Rights Reserved.
What is Big Data?

Large data sets

excessive retrieval and processing time

structured and unstructured collections
BIG DATA

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©2014 DesignMind. All Rights Reserved.
SQL vs. Big Data

volume velocity variety

New tools and methodologies are needed!
Volume Velocity VarietySQLBIG DATA

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©2014 DesignMind. All Rights Reserved.

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©2014 DesignMind. All Rights Reserved.
Big Data Analysis vs. Traditional Data Analysis

different tools and methodologies

same underlying process
-
-
-

common goal
1. Collect
2. Prepare
3. Examine
4. Model
5. Decide
6. Act
Decision Cycle

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©2014 DesignMind. All Rights Reserved.
Why Data Science?

broader skillset
Technology
Business
Statistics & Math
IT Professionals
DATA
SCIENTISTS

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©2014 DesignMind. All Rights Reserved.
BI vs. Data Science

Broader skillsetbroaderanalyticsspectrum
SQL Analytics
Descriptive Analytics
Data Mining
Predictive Analytics
Simulation
Optimization
-
Count
-
Mean
-
OLAP
-
Univariate Distribution
-
Central tendency
-
Dispersion
-
Association rules
-
Clustering
-
Features extraction
-
Classification
-
Regression
-
Forecasting
-
Spatial
-
Machine learnings
-
Text analytics
-
Monte Carlo
-
Agent-based modeling
-
Discrete event modeling
-
Linear optimization
-
Non-linear optimization

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©2014 DesignMind. All Rights Reserved.

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©2014 DesignMind. All Rights Reserved.
Our Goal

to help our customers to fully exploit their big data
-
high-quality data
-
tools
-
services

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©2014 DesignMind. All Rights Reserved.
High-Quality Data is …

T

R

A

C

E

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©2014 DesignMind. All Rights Reserved.
Tools for…

D

R

E

A

M

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©2014 DesignMind. All Rights Reserved.
Services to better exploit data and use tools …

O
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P

T

I

C

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©2014 DesignMind. All Rights Reserved.

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©2014 DesignMind. All Rights Reserved.
Cloudera is the leader in Apache Hadoop-based software and services and offers a powerful new data platform that enables enterprises and organizations to look at all their data (structured as well as unstructured) and ask bigger questions for unprecedented insight at the speed of thought.
Platfora's Big Data Analytics Platform masks the complexity of Hadoop, making it easy for customers to understand all the facts in their business across events, actions, behaviors and time.
Tableau makes it easy for people to rapidly transform data into smart business analytics.
Windows Azure HDInsight is Microsoft’s easy to manage, agile, and open Enterprise-ready Hadoop in the cloud.
Enterprises can combine both relation and non-relational data with the new PolyBase, available in SQL Server 2012 Parallel Data Warehouse.
Partners

20
©2014 DesignMind. All Rights Reserved.
Products
Pig

21
©2014 DesignMind. All Rights Reserved.

big data better questions better answers  better decisions
big data to convert the invisible into the visible

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©2014 DesignMind. All Rights Reserved.
www.designmind.com

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Big Data & Data Science at DesignMind

2. 2 ©2014 DesignMind. All Rights Reserved. DesignMind’s Expertise and Offering Power BI Applications Databases Data Warehousing Big Data BI & Data Visualization Information Sharing & Collaboration Cloud Computing Data Science

8. 8 ©2014 DesignMind. All Rights Reserved. Examples of Big Data Applications Vertical Use Case Financial Services New Accounts Risk Assessment Loans and Credit Cards Application Processing Fraud Prevention Insurance Underwriting Cross-sell and Up-sell Consideration Trading Risk Telecom Call Detail Records (CDRs) Real-Time Bandwidth Allocation Infrastructure Investment New Product Development Next Product to Buy Retail 360' View of the Customer Brand Sentiment Analysis Localized, Personalized Promotions Website Optimization Optimal Store Layout Manufacturing Supply Chain and Logistics Assembly Line Quality Assurance Proactive Maintenance Services Resources Allocation Quality Assurance Workflows Routing

10. 10 ©2014 DesignMind. All Rights Reserved. Big Data Analysis vs. Traditional Data Analysis  different tools and methodologies  same underlying process - - -  common goal 1. Collect 2. Prepare 3. Examine 4. Model 5. Decide 6. Act Decision Cycle

12. 12 ©2014 DesignMind. All Rights Reserved. BI vs. Data Science  Broader skillsetbroaderanalyticsspectrum SQL Analytics Descriptive Analytics Data Mining Predictive Analytics Simulation Optimization - Count - Mean - OLAP - Univariate Distribution - Central tendency - Dispersion - Association rules - Clustering - Features extraction - Classification - Regression - Forecasting - Spatial - Machine learnings - Text analytics - Monte Carlo - Agent-based modeling - Discrete event modeling - Linear optimization - Non-linear optimization

19. 19 ©2014 DesignMind. All Rights Reserved. Cloudera is the leader in Apache Hadoop-based software and services and offers a powerful new data platform that enables enterprises and organizations to look at all their data (structured as well as unstructured) and ask bigger questions for unprecedented insight at the speed of thought. Platfora's Big Data Analytics Platform masks the complexity of Hadoop, making it easy for customers to understand all the facts in their business across events, actions, behaviors and time. Tableau makes it easy for people to rapidly transform data into smart business analytics. Windows Azure HDInsight is Microsoft’s easy to manage, agile, and open Enterprise-ready Hadoop in the cloud. Enterprises can combine both relation and non-relational data with the new PolyBase, available in SQL Server 2012 Parallel Data Warehouse. Partners

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