Date post: | 19-Jun-2015 |
Category: |
Technology |
Upload: | geert-van-landeghem |
View: | 418 times |
Download: | 0 times |
Becoming (Big) Data Driven
Geert Van Landeghem
3
▪ Big Data Consultant@DataCrunchers!▪ [email protected] ▪ From Vision to Implementation ▪ References
13
The Ubiquity of Data Opportunities!
Continuous investments in business infrastructure!!Virtually every aspect of business can be measured!!More and more External data is available!!More interest into getting information out of data!!Data mining versus data science
13
From Business Problems to Data Mining
13
Data mining tasks!
Classification!Regression!Clustering!Profiling!Similarity matching!Co-occurence grouping!Data reduction!Link prediction!Casual modeling
Data Science Context
7
2
How DDD affects performance!!!The more data driven a firm is, the more productive it is!!!One standard deviation higher on the DDD scale is associated with a !4%–6% increase in productivity.!!DDD also is correlated with higher return on assets, return on equity, asset utilization, and market value, and the relationship seems to be causal!!!!!Source: Study by Economist Erik Brynjolfsson and his colleagues from MIT (2011)
2
Data Driven marketeers outperform their competition
Source: The State of Marketing 2013, IBM’s Global Survey of Marketeers
Many leaders are data-driven
4
What does it mean to be data-driven?!
The culture and capabilities that!operationalize capturing, processing, and!
utilizing data to make timely decisions!that improve products, customer!
experiences, operational efficiency and!competiveness.
2
Data driven hurdles!
Disparate Data Sets!!Data owned by different silos within the org!!Lack of funding!!Lack of time/resources!!Legacy operating rhythm
2
Embarking on your data driven journey!
Transformation will not happen overnight!!Support of C-Level (top-down)!!Requires cross-functional collaboration!!Combination of people, process, tools!!Cultural champion is needed
2
How does big data fit in?!
Big data refers to data that is too big to fit !on a single server, too unstructured to fit !
into a row-and-column database, !or too continuously flowing !
to fit into a static data warehouse
6
Big Data Technical Drivers
7
Big Data Business Drivers
!Do More (Analytics) with Less (Costs)
8
Big Data Driven Roadmap
13
14
Source: Bill Schmerzo (EMC)!
How to build the 360° view?!!!
Two-way data integrations across multi-channels!!
Data is always updated and !accessible for use
2
The Enterprise Data Hub
Enterprise Data Hub Definition!
Contains all enterprise data!! Internal & External!!Processes all data in „near real-time” to generate views!! Historic & Flowing!
!Views!
Answers to business questions
2
A Common Start Situation
16
Our Vision #1
Focus on Data not on Derived Data
17
Our Vision #2
Data is immutable!
18
Our Vision #3
Query = function (all data)
19
Conceptually
20
21
Lambda architecture
View generation!
- Use machine learning!▪Recommendations!▪Clustering!▪Classification!▪Regression!▪R!▪…!
- SQL Like (Hive)!- Data Flow Programming (Pig)
25
13
References
28