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AttunityBetter Data Management For Faster Innovation
Wall Street Technology Association
March 19, 2015
Kevin Petrie
Senior Director and Technology Evangelist
The Big Data Mandate For Financial Services
“Operations for profit should be based not on optimism but on arithmetic.”
- Benjamin Graham, Value Investor
State Of The Big Data Business In Finance
Adoption DriversProliferating Data
Mobile Apps
IT Cost Declines
Disruptive Competition
Customer Churn
UpsideCustomer Retention
Improved Risk Analysis
New Customers & Products
Stronger Governance
Better Trades
Key Use Cases For Financial Services
Smart Payments | Smart Cards | ATM Monitoring
Digital Signage | Data Lineage & Governance | Compliance
Algorithmic Trading | Risk Management | Fraud Protection
Big Data Best Practices For Financial Services
• Derive Big Data Strategy From Corporate Strategy, Not Vice Versa
• Educate Workforces
• Fail And Iterate Fast
• Invest In Flexible Platforms
• Automate Data Management Tasks
Your Competitors Are Taking The Plunge
Unclear
Reduce Cost
Increase Revenue
Both
2%
20%
23%55%
Big Data Project Drivers31%
28%
41%
ProductionEvaluation
Pilot/POC
Status
Source: Wikibon 2014
Infrastructure And Process Must Change
• Costly storage for cold data
• Manual coding for data moves
• Duplicate data copies
• Disruptive app/platform rollouts
• BU initiatives tied down by IT
Average Big Data ROI: 55 cents on the $*
Source: Wikibon 2014
Choke Points
How Do We Scale?
It Is Time To Retool
And Accelerate Innovation
Shorten Analytics Preparation, Cycle Time
Iterate and Learn Faster
Efficiently Evaluate HANA
Enable Real-Time Analytics
Understand and Tune Your Environment
Automate Data Moves and Data Warehousing
Improve Big Data Economics
Best Practice: Automate Key Data Management Tasks
Data Warehouse Hadoop
Identify Cold EDW Data Sets For Offloading to Hadoop
Automate Data Integration Across EDW, RDBMS, Hadoop, MF
Orchestrate Workflows
Dynamically Manage Your Data With Attunity
11
• Manage iterative cycle over time
• Adapt data placement as you
learn
• Respond to changing business
requirements
• Exploit new platforms and
capabilities
Move Right Data
Analyze Business Impact
Evaluate Data
12
NEW: Appfluent – Your Data Dashboard
Completely Analyze Workloads And Data Usage
Reduce Cost | Optimize Performance | Justify Investments
24
Typical Enterprise Data Warehouse
Appfluent Visibility – Case Studies
30 Day History
Unused Tables Loaded Daily
CPU Cycles UsedBy ETL/ELT
Large Telecom Carrier 37 TB 60%
National Retail Chain 45 TB 55%
ExtractTransform
Load
ColdTables
13
Automate Your Data Moves With Attunity Replicate
More Data Less Time
Advanced Monitoring & Control | Click-2-Replicate Design
Fast Loading & Real-time CDC | Broadest Platform Support
Non-intrusive Architecture
Lower Cost
14
Case Study: Equifax Protects Customers By Continuously Scanning…
Your Social Security number
(if you choose)
Alerts:• Unusual transactions• Usage of personal data on Internet• Auto fraud alerts to lenders to double-check your
identity before authorizing new credit
Up to 5 bank accounts Up to 6 credit/debit cards
Thousands of web sites where personal data
might be sold
Equifax Now Uses Attunity Replicate
• We automate and accelerate batch loading to DW
• Equifax correlates data faster and more accurately
• Customers receive real-time fraud notifications
Earning Your Trust
We Serve Half Of The Fortune 100 And Many Financial Services Leaders
THANK YOU
Recent Awards
February 2014 CRN Names Attunity One of itsTop 100 Coolest Vendors of 2014
December 2014Attunity Maestro Named in DBTA Magazine’s List of Trendsetting Products in Data for 2015
June 2014 Attunity Selected as a CRN 2014‘Big Data 100’ Company
December 2013 Attunity Replicate Named a Trendsetter in DBTA Magazine's List of the Trendsetting Products in Data for 2014
January 2015 CRN Names Attunity One of its Top 100 Coolest Vendors of 2015
June 2014Attunity Selected as a CIO Review 2014 ‘Big Data 100’ Company
January 2015 Business Intelligence Group Names Attunity a Top 16 Innovator in 2015
June 2014 Attunity Named ‘One of the Most Important Companies in Data Today’ by Database Trends and Applications (DBTA) Magazine