This document discusses big data and analytics, including how much data is being generated, what is driving this disruption, and who the major players are. It notes issues with current analytics approaches being slow and expensive. The document introduces OpTier's approach of establishing real-time business context across transactions to more quickly gain insights. Potential use cases for financial services are also outlined, such as fraud prevention, customer behavior analysis, and understanding the impact of IT performance on business outcomes.
Originally delivered at Oracle Social Business Seminar - for more information on becoming a Certified Information Professional, go to http://www.aiim.org/certification.
Are You Ready for the Era of Big Data and Extreme Information Management?John Mancini
This is the first part of a 5-part series on the Information Challenges facing organizations. A white paper describing these challenges can be found here - http://pages2.aiim.org/CIPWebPage_InfoProWP.html
Business Intelligence:Optimizing Data Across the EnterpriseProformative, Inc.
Financial professionals often have too little and too much information at the same time. What they need is the data to make a great business decision fast. Discover how the finance executive of 2011 sifts through an exponentially growing pile of internal and external data to determine the best way to integrate and channel information to the right decision makers, at the right time, while maintaining appropriate controls over critical enterprise data.
During the last three years users have seen dramatic changes in how they access, consume and interact with technology. These changes have rolled across the enterprise, demanding IT managers incorporate better functionality and modify their environments to meet the needs of users and their businesses. While concerns about consumerization, virtualization, social media and cloud have assailed IT management, the eternal challenges remain.
IT management must focus on increased security requirements, delivering results faster, increasing performance, tight budgets and tightening schedules while extracting the greatest possible business value from the available technology. To be able to prepare for what’s changing in IT in 2012, TBR surveyed 105 IT decision makers to find out what they see changing and to what impact. What we learned is that data is controlling the market, and how it is stored, accessed and leveraged can mean the difference between success and failure.
In the social, mobile and cloud era, what does it take to be an Information P...John Mancini
Summary of massive changes underway in the enterprise IT marketplace being driven by social, mobile, and cloud, and the implications of these changes on what it means to be an information professional.
http://www.aiim.org/certification
Originally delivered at Oracle Social Business Seminar - for more information on becoming a Certified Information Professional, go to http://www.aiim.org/certification.
Are You Ready for the Era of Big Data and Extreme Information Management?John Mancini
This is the first part of a 5-part series on the Information Challenges facing organizations. A white paper describing these challenges can be found here - http://pages2.aiim.org/CIPWebPage_InfoProWP.html
Business Intelligence:Optimizing Data Across the EnterpriseProformative, Inc.
Financial professionals often have too little and too much information at the same time. What they need is the data to make a great business decision fast. Discover how the finance executive of 2011 sifts through an exponentially growing pile of internal and external data to determine the best way to integrate and channel information to the right decision makers, at the right time, while maintaining appropriate controls over critical enterprise data.
During the last three years users have seen dramatic changes in how they access, consume and interact with technology. These changes have rolled across the enterprise, demanding IT managers incorporate better functionality and modify their environments to meet the needs of users and their businesses. While concerns about consumerization, virtualization, social media and cloud have assailed IT management, the eternal challenges remain.
IT management must focus on increased security requirements, delivering results faster, increasing performance, tight budgets and tightening schedules while extracting the greatest possible business value from the available technology. To be able to prepare for what’s changing in IT in 2012, TBR surveyed 105 IT decision makers to find out what they see changing and to what impact. What we learned is that data is controlling the market, and how it is stored, accessed and leveraged can mean the difference between success and failure.
In the social, mobile and cloud era, what does it take to be an Information P...John Mancini
Summary of massive changes underway in the enterprise IT marketplace being driven by social, mobile, and cloud, and the implications of these changes on what it means to be an information professional.
http://www.aiim.org/certification
Is your business NBN ready? – Developing a Digital Business Strategy: VELG Na...Vanguard Visions
The Australian Government is investing $43 billion over 8 years in fibre, wireless and satellite broadband infrastructure as part of the National Broadband Network (NBN). There is strong evidence that the NBN will be a key enabler of many economic, social, technological and environmental developments (Bowles, 2011). This new digital economy will have an impact on all Australian industries and will require every Australian to improve their information and communication technology (ICT) skills. Participants will take away tools and processes to develop a digital business strategy which will enable them to capitalise on the training and business opportunities being made possible through the roll out of the NBN.
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...StampedeCon
At StampedeCon 2014, Jean-Luc Chatelain (DDN) presented 'Big Data: Infrastructure Implications for “The Enterprise of Things”.'
The amount of data in our world has been exploding, and storing and analyzing large data sets—so-called big data—will become a key basis of competition for the new “Enterprise of Things”, underpinning fresh waves of productivity growth, innovation, and consumer surplus. Leaders in every sector – from government to healthcare to finance – will have to grapple with the implications of big data, as data growth continues unabated for the foreseeable future. The quest to make sense of all this big data begins with breaking down data silos within organizations using the cost appropriate, shared infrastructure to ensure optimal extraction and analysis of data, knowledge and insight.
As the leading global e-commerce service, PayPal has transformed the way the company leverages big data storage and hyper-scale analytics to help improve both the safety and purchasing experiences of its online customers. In this discussion, using real-world customer examples such as PayPal, we will explore what Big Data Storage is from high performance file sharing to long-term archiving, as well as ways to break down data silos to reduce the cost and storage complexity of managing demanding workflows and data environments. We will demonstrate how hyperscale storage can enable near-real-time, stream analytics processing for behavioral and situational modeling, as well as for fraud detection, marketing and systems intelligence. We will ask what the greatest barriers to effective business analytics are and how today’s data analytics platforms, including Hadoop, Vertica, Python and Java, can be optimized to enable machine learning, event streaming, forecasting, and reduce overhead associated with human intervention. You’ll come away from this session understanding the infrastructure implications and options for organizations looking to maximize their big data for competitive advantage.
What does it take to engage employees and customers?John Mancini
A discussion of 1) how the nature of work is changing due to massive technology change; 2) why employee and customer engagement needs to be a key strategy in leveraging this technology change; and 3) why organizations need to take seriously the work assumptions of the Facebook generation and radically more demanding expectations of customers.
Consumerized and Social IT; XaaS "everything-as-a-service" ; New IT service acquisition and consumption models, Lean IT, cloud (bunker) models; charge-back; App Internet ; context-aware mobile devices that interact with each other and our enterprises; users are shifting ; Big Data
The National Broadband Network (NBN) will contribute to Australia being among the world’s leading digital economies through improved productivity gains, global competitiveness and social well-being (National Digital Economy Strategy, 2011).
In order to ensure your business takes advantage of this improved connectivity it will need to make sure that is ‘NBN ready’.
This interactive session presented by Allison Miller of Vanguard Visions Consulting will provide an overview of:
What the NBN is and why it is important to your business
How your businesses can prepare itself to make the most of the NBN
Confluent - Monthly magazine by Symbiosis Centre for IT - September 2010Dhiren Gala
What the next generation will expect of BI applications? How generational shift will drive changes in BI tools and technology? How the roles of BI professionals will be transformed? How the uses of BI systems will grow and change?
Data Visualization with Dashboard & KPI
Enabling Flexible Governance for All Data SourcesInside Analysis
The Briefing Room with Robin Bloor and Birst
Live Webcast on Feb. 5, 2013
All the effort that goes into data governance can quickly be lost if effective guard rails aren't in place. However, end users invariably need additional data sets in order to get a complete picture of what's happening. All too often, some or all of those additional data sources have not yet run the gauntlet of governance. Striking a balance between core and contextual data can help ensure that your business stays on top of opportunities without straying from the path.
Check out this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will explain the nuances of integrating governed and ungoverned data in ways that business users can easily leverage. He'll be briefed by Brad Peters of Birst who will demonstrate how managed data mashups can provide the kind of flexibility and agility that can lead to valuable insights. He'll explain how Birst's architecture can significantly lighten the load on IT without sacrificing data integrity, security or governance.
Visit: http://www.insideanalysis.com
SharePoint Saturday - Austin (Jan 2012) Jeff Shuey
SharePoint and Paper Belong Together
SharePoint does a lot of things, but when setup correctly it does one thing spetactularly well. It manages OVOTT --- One Version Of The Truth --- across the entire enterprise.
Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html
Is your business NBN ready? – Developing a Digital Business Strategy: VELG Na...Vanguard Visions
The Australian Government is investing $43 billion over 8 years in fibre, wireless and satellite broadband infrastructure as part of the National Broadband Network (NBN). There is strong evidence that the NBN will be a key enabler of many economic, social, technological and environmental developments (Bowles, 2011). This new digital economy will have an impact on all Australian industries and will require every Australian to improve their information and communication technology (ICT) skills. Participants will take away tools and processes to develop a digital business strategy which will enable them to capitalise on the training and business opportunities being made possible through the roll out of the NBN.
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...StampedeCon
At StampedeCon 2014, Jean-Luc Chatelain (DDN) presented 'Big Data: Infrastructure Implications for “The Enterprise of Things”.'
The amount of data in our world has been exploding, and storing and analyzing large data sets—so-called big data—will become a key basis of competition for the new “Enterprise of Things”, underpinning fresh waves of productivity growth, innovation, and consumer surplus. Leaders in every sector – from government to healthcare to finance – will have to grapple with the implications of big data, as data growth continues unabated for the foreseeable future. The quest to make sense of all this big data begins with breaking down data silos within organizations using the cost appropriate, shared infrastructure to ensure optimal extraction and analysis of data, knowledge and insight.
As the leading global e-commerce service, PayPal has transformed the way the company leverages big data storage and hyper-scale analytics to help improve both the safety and purchasing experiences of its online customers. In this discussion, using real-world customer examples such as PayPal, we will explore what Big Data Storage is from high performance file sharing to long-term archiving, as well as ways to break down data silos to reduce the cost and storage complexity of managing demanding workflows and data environments. We will demonstrate how hyperscale storage can enable near-real-time, stream analytics processing for behavioral and situational modeling, as well as for fraud detection, marketing and systems intelligence. We will ask what the greatest barriers to effective business analytics are and how today’s data analytics platforms, including Hadoop, Vertica, Python and Java, can be optimized to enable machine learning, event streaming, forecasting, and reduce overhead associated with human intervention. You’ll come away from this session understanding the infrastructure implications and options for organizations looking to maximize their big data for competitive advantage.
What does it take to engage employees and customers?John Mancini
A discussion of 1) how the nature of work is changing due to massive technology change; 2) why employee and customer engagement needs to be a key strategy in leveraging this technology change; and 3) why organizations need to take seriously the work assumptions of the Facebook generation and radically more demanding expectations of customers.
Consumerized and Social IT; XaaS "everything-as-a-service" ; New IT service acquisition and consumption models, Lean IT, cloud (bunker) models; charge-back; App Internet ; context-aware mobile devices that interact with each other and our enterprises; users are shifting ; Big Data
The National Broadband Network (NBN) will contribute to Australia being among the world’s leading digital economies through improved productivity gains, global competitiveness and social well-being (National Digital Economy Strategy, 2011).
In order to ensure your business takes advantage of this improved connectivity it will need to make sure that is ‘NBN ready’.
This interactive session presented by Allison Miller of Vanguard Visions Consulting will provide an overview of:
What the NBN is and why it is important to your business
How your businesses can prepare itself to make the most of the NBN
Confluent - Monthly magazine by Symbiosis Centre for IT - September 2010Dhiren Gala
What the next generation will expect of BI applications? How generational shift will drive changes in BI tools and technology? How the roles of BI professionals will be transformed? How the uses of BI systems will grow and change?
Data Visualization with Dashboard & KPI
Enabling Flexible Governance for All Data SourcesInside Analysis
The Briefing Room with Robin Bloor and Birst
Live Webcast on Feb. 5, 2013
All the effort that goes into data governance can quickly be lost if effective guard rails aren't in place. However, end users invariably need additional data sets in order to get a complete picture of what's happening. All too often, some or all of those additional data sources have not yet run the gauntlet of governance. Striking a balance between core and contextual data can help ensure that your business stays on top of opportunities without straying from the path.
Check out this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will explain the nuances of integrating governed and ungoverned data in ways that business users can easily leverage. He'll be briefed by Brad Peters of Birst who will demonstrate how managed data mashups can provide the kind of flexibility and agility that can lead to valuable insights. He'll explain how Birst's architecture can significantly lighten the load on IT without sacrificing data integrity, security or governance.
Visit: http://www.insideanalysis.com
SharePoint Saturday - Austin (Jan 2012) Jeff Shuey
SharePoint and Paper Belong Together
SharePoint does a lot of things, but when setup correctly it does one thing spetactularly well. It manages OVOTT --- One Version Of The Truth --- across the entire enterprise.
Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
Big Data, NoSQL, NewSQL & The Future of Data ManagementTony Bain
It is an exciting and interesting time to be involved in data. More change of influence has occurred in the database management in the last 18 months than has occurred in the last 18 years. New technologies such as NoSQL & Hadoop and radical redesigns of existing technologies, like NewSQL , will change dramatically how we manage data moving forward.
These technologies bring with them possibilities both in terms of the scale of data retained but also in how this data can be utilized as an information asset. The ability to leverage Big Data to drive deep insights will become a key competitive advantage for many organisations in the future.
Join Tony Bain as he takes us through both the high level drivers for the changes in technology, how these are relevant to the enterprise and an overview of the possibilities a Big Data strategy can start to unlock.
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Content1. Introduction2. What is Big Data3. Characte.docxdickonsondorris
Content
1. Introduction
2. What is Big Data
3. Characteristic of Big Data
4. Storing,selecting and processing of Big Data
5. Why Big Data
6. How it is Different
7. Big Data sources
8. Tools used in Big Data
9. Application of Big Data
10. Risks of Big Data
11. Benefits of Big Data
12. How Big Data Impact on IT
13. Future of Big Data
Introduction
• Big Data may well be the Next Big Thing in the IT
world.
• Big data burst upon the scene in the first decade of the
21st century.
• The first organizations to embrace it were online and
startup firms. Firms like Google, eBay, LinkedIn, and
Facebook were built around big data from the
beginning.
• Like many new information technologies, big data can
bring about dramatic cost reductions, substantial
improvements in the time required to perform a
computing task, or new product and service offerings.
• ‘Big Data’ is similar to ‘small data’, but bigger in
size
• but having data bigger it requires different
approaches:
– Techniques, tools and architecture
• an aim to solve new problems or old problems in a
better way
• Big Data generates value from the storage and
processing of very large quantities of digital
information that cannot be analyzed with
traditional computing techniques.
What is BIG DATA?
What is BIG DATA
• Walmart handles more than 1 million customer
transactions every hour.
• Facebook handles 40 billion photos from its user base.
• Decoding the human genome originally took 10years to
process; now it can be achieved in one week.
Three Characteristics of Big Data V3s
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
1st Character of Big Data
Volume
•A typical PC might have had 10 gigabytes of storage in 2000.
•Today, Facebook ingests 500 terabytes of new data every day.
•Boeing 737 will generate 240 terabytes of flight data during a single
flight across the US.
• The smart phones, the data they create and consume; sensors
embedded into everyday objects will soon result in billions of new,
constantly-updated data feeds containing environmental, location,
and other information, including video.
2nd Character of Big Data
Velocity
• Clickstreams and ad impressions capture user behavior at
millions of events per second
• high-frequency stock trading algorithms reflect market
changes within microseconds
• machine to machine processes exchange data between
billions of devices
• infrastructure and sensors generate massive log data in real-
time
• on-line gaming systems support millions of concurrent
users, each producing multiple inputs per second.
3rd Character of Big Data
Variety
• Big Data isn't just numbers, dates, and strings. Big
Data is also geospatial data, 3D data, audio and
video, and unstructured text, including log files and
social media.
• Traditional database systems were designed to
address smaller volumes of structured data, fewer
updates or a predictable, consistent data stru.
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Enterprise focusing on the modernization of data analytics, the AI ladder and AI life cycle and infrastructure architecture considerations. We will conclude by viewing the benefits and innovation of running your modern AI and Data Analytics applications such as SAS Viya and SAP HANA on IBM Power Systems and IBM Storage in hybrid cloud environments.
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
This Presentation is completely on Big Data Analytics and Explaining in detail with its 3 Key Characteristics including Why and Where this can be used and how it's evaluated and what kind of tools that we use to store data and how it's impacted on IT Industry with some Applications and Risk Factors
Intelligent Business Process Management Suites (iBPMS) - The Next-Generation ...Kai Wähner
I had a talk at ECSA 2014 in Vienna: The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS), sometimes also abbreviated iBPM. I want to share the slides with you. The slides include an example how to implement iBPMS easily with the TIBCO middleware stack: TIBCO AMX BPM + BusinessWorks + StreamBase + Tibbr.
2. www.optier.com
Agenda
• What is big data and how much data?
• What's causing this disruption and why now?
• Is it hype or real and who are the players in Big Data and
Analytics?
• What's wrong with the current Data Intelligence process?
• What's the impact for financial services?
• Use Cases - Its all about the Analytics!
This is a lot to accomplish in 25 mins and right after lunch!!
3. www.optier.com
Big Data Everywhere!
• Lots of data is been collected and warehoused…
₋ Web data and e-commerce data
₋ Transaction Data
₋ Mobile and end-user data
₋ Purchase data from stores
₋ Bank/Credit Card data
₋ Social networks
₋ Video and preference data
₋ Machine and Sensor Data
5. www.optier.com
How Much Data?
IDC says Digital Universe will be 35 Zettabytes by 2020…..
For reference 1 Zettabye = 1,000,000,000,000,000,000,000 bytes of data or 1 Billion Terrabytes, with 80% of that
data will be from internal enterprise systems!
Facebook at 1B Users Enterprise Data Growth Mobile Payment TX’s
6. www.optier.com
What's causing this disruption and why now?
Big Data is the confluence of three trends consisting of Big Transaction Data, Big
Interaction Data and Big Data Processing
1 2
Big Transaction Data Big Interaction Data
Transaction Context Other Interaction Data
• Core Systems Transaction • Mobile data
• Customer/Channel Data Big Data • Video data
•Image /Text
•Clickstream
End User Experience Analytics • Sensor data •Scientific
• Web Analytics
• End-User Data Social Media
IT Performance
• APM data
• Machine or log data
3 Big Data Processing
7. www.optier.com
Who are the players in Big Data & Why
WHO WHY (big money!)
Source: Forbes , Dave Feinleib http://www.forbes.com/sites/davefeinleib/2012/06/19/the-big-data-landscape/
8. www.optier.com
Lets separate the Signal from the Noise
Make no mistake… It’s all about REVENUE…..
Sales Then Sales Now
Companies are investing in Big Data and
Analytics looking to solve big problems
Context for Interactions and Transactions
User Insights and behavior patterns Online Marketing Then Online Marketing Now
Operational Intelligence
Investment Decisioning
Cross channel interactions
Risk and Fraud Preventions Then, Unhappy Customer Now, Customer Experience
Predictive and Visual Insights
Impact of IT performance
9. www.optier.com
Issues with Incumbents
…. But it’s NOT that easy to do !!… examples often used are companies (Google, Amazon,
Apple, etc) that designed capturing context & analytics into their business transactions
and applications.. What do the rest of us do whose core revenue and client facing
applications have been built over years…?
Typical BI/BA Effort
• Batch Orientated
• Slow Response – Days not minutes
• Cannot be reconfigured on the fly
• Very expensive requiring multiple
tools and resources
• Very IT intensive (80% of the cost)
• Complex – requiring manual data
mapping, data scrubbing and
establishing context
Source: Gartner (March 2012) – Typical analytic process using CRISP-DM, the cross-industry standard process for data mining methodology
10. www.optier.com
The OpTier Perspective
We believe the key is establishing business context in as near real-time as possible.
Without context lots of time and money is spent inferring context and relationships before
you can even attempt to create insights….
Establishing Business Context means you have to capture in real-time:
WHO (the user and customer data)
WHAT (what were the user actions and behaviors)
WHERE (location and access points)
HOW (device type, channel, formats, TRX path)
WHEN (timings, frequency,
WHY (Unique business data)
SERVICE (Performance, topology, experience)
OUTCOME (Success/Failure, Abandon, Follow-on)
… across the entire customer interaction, and across the entire end – end business
service
11. www.optier.com
OpTier’s Secret Sauce
As stated, establishing context is difficult unless you have built this into your applications. Few have,
but OpTier has patented something called ACTIVE CONTECT TRACKING…
OpTier captures context in real-time HORIZONTALLY across the end to end Business Service ……..
... capturing and storing ALL customer transactions with detailed business context and service measurements …
Actions, Unique Outcomes
Customer & Device & Service
Paths & Business Success or
User Data Location Performance
Behaviors Data Abandons
... Mapping Business Outcomes, IT Performance and customer behaviors in real-time enabling …
Business Performance Insights Operational Intelligence
Low Cost
Real-time
Dynamic
Immediate
Actual Non IT centric
12. www.optier.com
Use Cases for Financial Services Business
stakeholders?
Heavy focus from business and marketing users
Customer behavior and patterns by channels especially mobile with a
focus on application/user optimization and campaign insights
Real-time marketing campaign impacts on actual business activity and
business results
Incremental fraud prevention techniques by isolating transaction and
user patterns (looking at social data)
End customer servicing transparency capturing business activity and
quantifying results
Understanding cross-channel relationships to enable cross-sell or
activity impacts – lots of cost optimization for call-center ?
Impact of IT performance issues on customer behavior, retention and
business performance
Spend allocation based on actual cost per transactions of underlying
asset usage
Understanding high value churn (or segmenting
12
13. www.optier.com
Use Cases for Financial Services IT/Operations
stakeholders?
Common IT questions that BDA can answer
Are meeting our operational targets in delivering always-on to
the business and end-users?
What actions can reduce the most cost based on actual
usage?
My business service is made up of multiple apps, I need alerts
across the entire process?
What are my costs per transaction relative to the underlying
infrastructure pieces?
How are my top client facing applications performing and are
we delivering exceptional experience?
Am I investing in the applications and services that deliver the
most revenue and impact?
13
14. www.optier.com
Summary
• There is lots of data and it is growing rapidly. It’s not all high quality and the main insights appear
to be in within the enterprise (versus social etc.). Big Data may not be all about size!
• There is a lot of hype and a lot of vendors in the Big Data and analytics space. Beware the hype! I
suggest you make real transaction data the cornerstone. It’s the real source of the truth
• The driving force is to find insights to drive new revenue, new clients and extract more from your
current processes, clients and investments
• The incumbents have a problem. It is IT centric, expensive and all the time is spent attempt to
establish context before they even start asking questions and seeking insights
• OpTier’s perspective is that capturing context and looking at the actual business and user
transactions, the supporting IT performance and the eventual business outcome is the key to
valuable insights
• Financial services is a key industry segment and expect a rapid growth is specific use cases. There
will be some specific FS big data companies that will provide turnkey solutions
Editor's Notes
Insert the date, version number and copyright line on the cover page only.