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TARGIT CTO Dr. Morton Middelfart has professionally devoted himself to one thing: turning DECISIONS into ACTION faster, more efficiently, and more intelligently than ever. He continues to develop patented features that zero in on solving the challenges that companies face every day. One of those challenges is harnessing the massive amounts of external data relevant to your company. Big data is … well … big. And companies that don’t learn from it and adapt will be quickly left in the dust. Join Morton for his session “Make BIG DATA work for you” and discover how to get the most out of your big data through Business Intelligence. What you’ll learn: - Why external data is increasingly important to today’s businesses - Exciting new technologies developed to help you make sense of the growing amount of Big Data - How to measure and monitor consumers’ sentiments about your company - What your external data says about your internal data - What you need to take action to constantly stay ahead of the curve
Citation preview
Make BIG DATA
Work for You
Presented by
Dr. Morten Middelfart, TARGIT CTO
targit.com/research
@dr_morton on Twitter
Flight
or Fight ?
Observation
Dashboards
Reports
Agents
Orientation
Analytics
Simulation
Decision
Based on Facts
Use all available
information
Action
Changes
Communication
Reaction/Action
Supporting the
decision loop with
intelligence
Time
# Data Sourcesx Data Size
The TARGIT Journey
Operational
Strategic
Time
# Data Sourcesx Data Size
The TARGIT Journey
Operational
Strategic
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
# Data Sourcesx Data Size
The TARGIT Journey
Operational
Strategic
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
Integrated Action LoopDashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
# Data Sourcesx Data Size
The TARGIT Journey
Operational
Strategic
# Data Sourcesx Data Size
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
Integrated Action LoopDashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Data-Driven Culture
Dynamic Integration/Rejection ofInternal & External Data
-> Competing on Analytics
The TARGIT Journey
Operational
Strategic
# Data Sourcesx Data Size
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
Integrated Action LoopDashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Data-Driven Culture
Dynamic Integration/Rejection ofInternal & External Data
-> Competing on Analytics
The TARGIT Journey
Why?
Technology Trends – Usual Suspects
Faster
Smaller
Cheaper
-> More Capacity-> More Bandwidth
Human Behavior – the Unpredictable
Social Data
Open Data
-> Valuable Insights
-> High Volume of Data
-> Real Time, Streaming
-> Social vs. Search
Cycles – the Weird Stuff
Browsers: three, one, five
Servers: mainframe, pc, client server, cloud
Files: programming db (flat files), relational db, multi-dimensional db, programming db in-memory, programming db (flat files)
-> specialized servers physically optimized (e.g. SSD, ASIC)
#FactBeatFear when data speaks
#FactBeatFear when data speaks
1. Firms will realize that “big data” means
all of their data.
2. The algorithm wars will begin.
3. Real-time architectures will swing to
prominence.
4. Naysayers will fall silent.
There are 1.8 zettabytes of digital data in the world(2011), projected to grow to 7.9 zettabytes by 2015.
zettabyte = 1021 or 1,000,000,000,000,000,000,000 bytes
~ 45% annual growth
The Growth of Unstructured Data: What To Do with All Those Zettabytes? Dataversity, 2013
Big DataData that exists in such large amounts or insuch unstructured form that it is difficult tohandle in the traditional data warehouse orany other type of database.
Right?
From Control
to No Control
What it means for organizations:
Loss of Control
Data amounts overwhelming
Data Scientist rather than an Accountant
-> Sampling rather than complete datasets!
What it means for organizations:
Volume and Speed + Smaller and Faster Devices
= more Analytics per Interaction + on the Device
External Data exceed “Owned Data”
-> organizationsmust compete on a larger share of external data, thus data they do not control
Inverted Data Warehouse (IDW)
o Inspiration from CERN’s LHC
o “Shotgun Approach”; equal to formulating
hypotheses; data scientist
o No single point of failure
(parallel Query Nodes have also been tested)
Inverted Data Warehouse (IDW)
Possible to Query 32.5B “rows” for “the Little Guy”
Robust
Operationally & Strategically Useful
What it means for TARGIT customers:
Would it be interesting to knowwhat a customer is looking for
before entering your business?
What it means for TARGIT customers:
Would it be interesting to knowwhat customers say to friendsafter doing business with you?
Why?
Hive/H
ado
op
& B
igQu
ery
The Future
Operational
Strategic
# Data Sourcesx Data Size
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
Integrated Action LoopDashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Data-Driven Culture
Dynamic Integration/Rejection ofInternal & External Data
-> Competing on Analytics
The TARGIT Journey
Operational
Strategic
# Data Sourcesx Data Size
Time
Getting Started Using Accelerators
-> Easy Analytics & Reports
Integrated Action LoopDashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Data-Driven Culture
Dynamic Integration/Rejection ofInternal & External Data
-> Competing on Analytics
The TARGIT Journey
Fight !
