SlideShare a Scribd company logo
1 of 19
Download to read offline
Attunity
Better 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 Drivers
Proliferating Data
Mobile Apps
IT Cost Declines
Disruptive Competition
Customer Churn
Upside
Customer 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 Drivers
31%
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 Used
By ETL/ELT
Large Telecom
Carrier
37 TB 60%
National Retail
Chain
45 TB 55%
Extract
Transform
Load
Cold
Tables
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 alertsto 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 2014
Attunity 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 2014
Attunity 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

More Related Content

What's hot

Preparing Your Analytics Divisions for The IoT Revolution - Scot Gnewuch
Preparing Your Analytics Divisions for The IoT Revolution - Scot GnewuchPreparing Your Analytics Divisions for The IoT Revolution - Scot Gnewuch
Preparing Your Analytics Divisions for The IoT Revolution - Scot GnewuchMolly Alexander
 
Big data it’s impact on the finance function
Big data it’s impact on the finance functionBig data it’s impact on the finance function
Big data it’s impact on the finance functionMike Davis
 
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013IBM Switzerland
 
Cox Automotive: data sells cars
Cox Automotive: data sells carsCox Automotive: data sells cars
Cox Automotive: data sells carsCloudera, Inc.
 
It’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataIt’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataTeradata
 
Big data in Private Banking
Big data in Private BankingBig data in Private Banking
Big data in Private BankingJérôme Kehrli
 
Protect Your Revenue Streams: Big Data & Analytics in Tax
Protect Your Revenue Streams: Big Data & Analytics in TaxProtect Your Revenue Streams: Big Data & Analytics in Tax
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
 
Fintech workshop Part I - Law Society of Hong Kong - Xccelerate
Fintech workshop Part I - Law Society of Hong Kong - XccelerateFintech workshop Part I - Law Society of Hong Kong - Xccelerate
Fintech workshop Part I - Law Society of Hong Kong - XccelerateHenrique Centieiro
 
The Evolution of Data and New Opportunities for Analytics
The Evolution of Data and New Opportunities for AnalyticsThe Evolution of Data and New Opportunities for Analytics
The Evolution of Data and New Opportunities for AnalyticsSAS Canada
 
Innovation Around Data and AI for Fraud Detection
Innovation Around Data and AI for Fraud DetectionInnovation Around Data and AI for Fraud Detection
Innovation Around Data and AI for Fraud DetectionDataStax
 
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...Capgemini
 
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...Business Development Institute
 
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...Chief Analytics Officer Forum
 
AI & ML for Supply Chain Optimization
AI & ML for Supply Chain OptimizationAI & ML for Supply Chain Optimization
AI & ML for Supply Chain OptimizationShiSh Shridhar
 
Extending BI with Big Data Analytics
Extending BI with Big Data AnalyticsExtending BI with Big Data Analytics
Extending BI with Big Data AnalyticsDatameer
 
Putting Analytics in the Driver’s Seat
Putting Analytics in the Driver’s SeatPutting Analytics in the Driver’s Seat
Putting Analytics in the Driver’s SeatCapgemini
 

What's hot (20)

Preparing Your Analytics Divisions for The IoT Revolution - Scot Gnewuch
Preparing Your Analytics Divisions for The IoT Revolution - Scot GnewuchPreparing Your Analytics Divisions for The IoT Revolution - Scot Gnewuch
Preparing Your Analytics Divisions for The IoT Revolution - Scot Gnewuch
 
Big Data & Analytic: The Value Proposition
Big Data & Analytic: The Value PropositionBig Data & Analytic: The Value Proposition
Big Data & Analytic: The Value Proposition
 
Big Data & Analytics Day
Big Data & Analytics Day Big Data & Analytics Day
Big Data & Analytics Day
 
Big data it’s impact on the finance function
Big data it’s impact on the finance functionBig data it’s impact on the finance function
Big data it’s impact on the finance function
 
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013
Erfolgreicher agieren mit Analytics_Markus Barmettler_IBM Symposium 2013
 
Pres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsainiPres_Big Data for Finance_vsaini
Pres_Big Data for Finance_vsaini
 
Cox Automotive: data sells cars
Cox Automotive: data sells carsCox Automotive: data sells cars
Cox Automotive: data sells cars
 
It’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect DataIt’s Not Enough to Just Collect Data
It’s Not Enough to Just Collect Data
 
Big data in Private Banking
Big data in Private BankingBig data in Private Banking
Big data in Private Banking
 
Protect Your Revenue Streams: Big Data & Analytics in Tax
Protect Your Revenue Streams: Big Data & Analytics in TaxProtect Your Revenue Streams: Big Data & Analytics in Tax
Protect Your Revenue Streams: Big Data & Analytics in Tax
 
Fintech workshop Part I - Law Society of Hong Kong - Xccelerate
Fintech workshop Part I - Law Society of Hong Kong - XccelerateFintech workshop Part I - Law Society of Hong Kong - Xccelerate
Fintech workshop Part I - Law Society of Hong Kong - Xccelerate
 
The Evolution of Data and New Opportunities for Analytics
The Evolution of Data and New Opportunities for AnalyticsThe Evolution of Data and New Opportunities for Analytics
The Evolution of Data and New Opportunities for Analytics
 
Innovation Around Data and AI for Fraud Detection
Innovation Around Data and AI for Fraud DetectionInnovation Around Data and AI for Fraud Detection
Innovation Around Data and AI for Fraud Detection
 
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...
CWIN17 san francisco-blockchain three ways to prevent it from failing in the ...
 
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
 
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...
Enova presentation at the Chief Analytics Officer Forum East Coast USA (#CAOF...
 
AI & ML for Supply Chain Optimization
AI & ML for Supply Chain OptimizationAI & ML for Supply Chain Optimization
AI & ML for Supply Chain Optimization
 
01 big dataoverview
01 big dataoverview01 big dataoverview
01 big dataoverview
 
Extending BI with Big Data Analytics
Extending BI with Big Data AnalyticsExtending BI with Big Data Analytics
Extending BI with Big Data Analytics
 
Putting Analytics in the Driver’s Seat
Putting Analytics in the Driver’s SeatPutting Analytics in the Driver’s Seat
Putting Analytics in the Driver’s Seat
 

Similar to Wsta event 3 19-2015.v6

Achieving Operational Efficiency and Effectiveness with Digital Transformatio...
Achieving Operational Efficiency and Effectiveness with Digital Transformatio...Achieving Operational Efficiency and Effectiveness with Digital Transformatio...
Achieving Operational Efficiency and Effectiveness with Digital Transformatio...Appian
 
The path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial ServicesThe path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial ServicesHortonworks
 
Internet of things, Big Data and Analytics 101
Internet of things, Big Data and Analytics 101Internet of things, Big Data and Analytics 101
Internet of things, Big Data and Analytics 101Mukul Krishna
 
Direct Insite: RedChip's Global Online CEO Conference
Direct Insite: RedChip's Global Online CEO ConferenceDirect Insite: RedChip's Global Online CEO Conference
Direct Insite: RedChip's Global Online CEO ConferenceRedChip Companies, Inc.
 
2016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V42016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V4Janani Eshwaran
 
2016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V42016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V4Janani Eshwaran
 
Big Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationBig Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationJean-Michel Franco
 
Direct Insite Investor Presentation April 2014
Direct Insite Investor Presentation April 2014Direct Insite Investor Presentation April 2014
Direct Insite Investor Presentation April 2014Company Spotlight
 
Using Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsUsing Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsConnotate
 
Using Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsUsing Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsConnotate
 
Relying on Data for Strategic Decision-Making--Financial Services Experience
Relying on Data for Strategic Decision-Making--Financial Services ExperienceRelying on Data for Strategic Decision-Making--Financial Services Experience
Relying on Data for Strategic Decision-Making--Financial Services ExperienceCloudera, Inc.
 
APAC Exec Roundtable
APAC Exec Roundtable APAC Exec Roundtable
APAC Exec Roundtable confluent
 
New Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseNew Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseDATAVERSITY
 
Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1Jenawahl
 
Using Data-Driven Agile Automation to Advance Digital Transformation
Using Data-Driven Agile Automation to Advance Digital TransformationUsing Data-Driven Agile Automation to Advance Digital Transformation
Using Data-Driven Agile Automation to Advance Digital TransformationPrecisely
 
ANZ C-Level Roundtable
ANZ C-Level RoundtableANZ C-Level Roundtable
ANZ C-Level Roundtableconfluent
 
Analytics Service Framework
Analytics Service Framework Analytics Service Framework
Analytics Service Framework Vishwanath Ramdas
 

Similar to Wsta event 3 19-2015.v6 (20)

Achieving Operational Efficiency and Effectiveness with Digital Transformatio...
Achieving Operational Efficiency and Effectiveness with Digital Transformatio...Achieving Operational Efficiency and Effectiveness with Digital Transformatio...
Achieving Operational Efficiency and Effectiveness with Digital Transformatio...
 
The path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial ServicesThe path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial Services
 
Internet of things, Big Data and Analytics 101
Internet of things, Big Data and Analytics 101Internet of things, Big Data and Analytics 101
Internet of things, Big Data and Analytics 101
 
RPA in Finance v2
RPA in Finance v2RPA in Finance v2
RPA in Finance v2
 
Direct Insite: RedChip's Global Online CEO Conference
Direct Insite: RedChip's Global Online CEO ConferenceDirect Insite: RedChip's Global Online CEO Conference
Direct Insite: RedChip's Global Online CEO Conference
 
2016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V42016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V4
 
2016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V42016 DSG Webinar Azure HDInsight 2 V4
2016 DSG Webinar Azure HDInsight 2 V4
 
Big Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning associationBig Data and MDM altogether: the winning association
Big Data and MDM altogether: the winning association
 
Direct Insite Investor Presentation April 2014
Direct Insite Investor Presentation April 2014Direct Insite Investor Presentation April 2014
Direct Insite Investor Presentation April 2014
 
Using Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsUsing Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce Costs
 
Using Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce CostsUsing Web Data to Drive Revenue and Reduce Costs
Using Web Data to Drive Revenue and Reduce Costs
 
Relying on Data for Strategic Decision-Making--Financial Services Experience
Relying on Data for Strategic Decision-Making--Financial Services ExperienceRelying on Data for Strategic Decision-Making--Financial Services Experience
Relying on Data for Strategic Decision-Making--Financial Services Experience
 
APAC Exec Roundtable
APAC Exec Roundtable APAC Exec Roundtable
APAC Exec Roundtable
 
New Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the EnterpriseNew Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the Enterprise
 
Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1
 
Using Data-Driven Agile Automation to Advance Digital Transformation
Using Data-Driven Agile Automation to Advance Digital TransformationUsing Data-Driven Agile Automation to Advance Digital Transformation
Using Data-Driven Agile Automation to Advance Digital Transformation
 
ANZ C-Level Roundtable
ANZ C-Level RoundtableANZ C-Level Roundtable
ANZ C-Level Roundtable
 
Cloud Computing for CPAs: What Your Client Will Ask You
Cloud Computing for CPAs: What Your Client Will Ask YouCloud Computing for CPAs: What Your Client Will Ask You
Cloud Computing for CPAs: What Your Client Will Ask You
 
Analytics Service Framework
Analytics Service Framework Analytics Service Framework
Analytics Service Framework
 
16 diri
16 diri16 diri
16 diri
 

Recently uploaded

Rock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxRock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxFinatron037
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?sonikadigital1
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionajayrajaganeshkayala
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
Optimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsOptimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsThinkInnovation
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityAggregage
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxCCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxdhiyaneswaranv1
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 

Recently uploaded (16)

Rock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxRock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptx
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual intervention
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
Optimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsOptimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in Logistics
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxCCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 

Wsta event 3 19-2015.v6

  • 1. Attunity Better Data Management For Faster Innovation Wall Street Technology Association March 19, 2015 Kevin Petrie Senior Director and Technology Evangelist
  • 2. The Big Data Mandate For Financial Services “Operations for profit should be based not on optimism but on arithmetic.” - Benjamin Graham, Value Investor
  • 3. State Of The Big Data Business In Finance Adoption Drivers Proliferating Data Mobile Apps IT Cost Declines Disruptive Competition Customer Churn Upside Customer Retention Improved Risk Analysis New Customers & Products Stronger Governance Better Trades
  • 4. Key Use Cases For Financial Services Smart Payments | Smart Cards | ATM Monitoring Digital Signage | Data Lineage & Governance | Compliance Algorithmic Trading | Risk Management | Fraud Protection
  • 5. 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
  • 6. Your Competitors Are Taking The Plunge Unclear Reduce Cost Increase Revenue Both 2% 20% 23% 55% Big Data Project Drivers 31% 28% 41% ProductionEvaluation Pilot/POC Status Source: Wikibon 2014
  • 7. 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
  • 8. How Do We Scale?
  • 9. 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
  • 10. 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
  • 11. 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. 12 NEW: Appfluent – Your Data Dashboard Completely Analyze Workloads And Data Usage Reduce Cost | Optimize Performance | Justify Investments 24
  • 13. Typical Enterprise Data Warehouse Appfluent Visibility – Case Studies 30 Day History Unused Tables Loaded Daily CPU Cycles Used By ETL/ELT Large Telecom Carrier 37 TB 60% National Retail Chain 45 TB 55% Extract Transform Load Cold Tables 13
  • 14. 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
  • 15. 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 alertsto 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
  • 16. 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
  • 17. Earning Your Trust We Serve Half Of The Fortune 100 And Many Financial Services Leaders
  • 19. Recent Awards February 2014 CRN Names Attunity One of itsTop 100 Coolest Vendors of 2014 December 2014 Attunity 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 2014 Attunity 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

Editor's Notes

  1. Today’s financial services organization understands the potential of Big Data analytics to drive innovation with top line and bottom line benefits.  But the logistics of data management often interfere, thanks to competing platforms, manual coding for data moves, duplicate copies and inefficient test procedures.  Learn about best practices and automation techniques to more efficiently consolidate data, economize resources, test new platforms and manage data warehousing.  Free up your resources to innovate and build a competitive Big Data advantage.
  2. This is why we cannot accelerate – what slows value, speed bumps, etc. Need a map Viking ship with many oarsmen Legacy infrastructure cannot scale to handle increasing data volume, velocity, variety IT personnel spend more time on data management and less on analytics Slower iterations mean learning curve flattens Analytics projects are delayed and narrower in scope Opportunities are unaddressed
  3. How do I get there? How do I extract value? Refer back to two dimensions – economics and analytics preparation
  4. Appfluent (an Attunity Company) provides data usage analytics for Data Warehouse Optimization. With Appfluent, enterprises can completely analyze workloads and data usage across platforms … to reduce costs, optimize performance and justify investments, With analysis provided by Appfluent, organizations can develop a roadmap to: 1)Rebalance the right data and right workloads onto the right platform, 2) Tune and optimize the performance of the systems based on how data is used and 3) Continuously measure and audit utilization and provide transparency to the business. Appfluent’s flagship software product is called Appfluent Visibility that provides the most comprehensive solution designed for Enterprise Data Administration. Appfluent Visibility is the ONLY solution in the market that supports multiple platforms supports including Teradata..Oracle…DB2…Netezza and now…Hadoop as well. Giving you the only solution that provides the needed insight across these platforms to move data and workloads to the right platform, optimize your systems based on data sets used and measure and audit usage and utilization of your diverse information assets…. to reduce overall costs and increase performance.
  5. http://www.ibom.biz/items.aspx http://www.nyc.gov/html/id/html/how/social_security_card.shtml http://xonuox.com/ http://3nter.com/bell/bell-icon.html
  6. http://artbyangel19.deviantart.com/art/Sherlock-Holmes-283395765