Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
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.
I often hear from clients: “We don’t know much about Big Data – can you tell us what it is and how it can help our business?” Yes! The first step is this vendor-free presentation, where I start with a business level discussion, not a technical one. Big Data is an opportunity to re-imagine our world, to track new signals that were once impossible, to change the way we experience our communities, our places of work and our personal lives. I will help you to identify the business value opportunity from Big Data and how to operationalize it. Yes, we will cover the buzz words: modern data warehouse, Hadoop, cloud, MPP, Internet of Things, and Data Lake, but I will show use cases to better understand them. In the end, I will give you the ammo to go to your manager and say “We need Big Data an here is why!” Because if you are not utilizing Big Data to help you make better business decisions, you can bet your competitors are.
What is Big Data?
Big Data Laws
Why Big Data?
Industries using Big Data
Current process/SW in SCM
Challenges in SCM industry
How Big data can solve the problems?
Migration to Big data for an SCM industry
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
Big Data Tutorial | What Is Big Data | Big Data Hadoop Tutorial For Beginners...Simplilearn
This presentation about Big Data will help you understand how Big Data evolved over the years, what is Big Data, applications of Big Data, a case study on Big Data, 3 important challenges of Big Data and how Hadoop solved those challenges. The case study talks about Google File System (GFS), where you’ll learn how Google solved its problem of storing increasing user data in early 2000. We’ll also look at the history of Hadoop, its ecosystem and a brief introduction to HDFS which is a distributed file system designed to store large volumes of data and MapReduce which allows parallel processing of data. In the end, we’ll run through some basic HDFS commands and see how to perform wordcount using MapReduce. Now, let us get started and understand Big Data in detail.
Below topics are explained in this Big Data presentation for beginners:
1. Evolution of Big Data
2. Why Big Data?
3. What is Big Data?
4. Challenges of Big Data
5. Hadoop as a solution
6. MapReduce algorithm
7. Demo on HDFS and MapReduce
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
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.
I often hear from clients: “We don’t know much about Big Data – can you tell us what it is and how it can help our business?” Yes! The first step is this vendor-free presentation, where I start with a business level discussion, not a technical one. Big Data is an opportunity to re-imagine our world, to track new signals that were once impossible, to change the way we experience our communities, our places of work and our personal lives. I will help you to identify the business value opportunity from Big Data and how to operationalize it. Yes, we will cover the buzz words: modern data warehouse, Hadoop, cloud, MPP, Internet of Things, and Data Lake, but I will show use cases to better understand them. In the end, I will give you the ammo to go to your manager and say “We need Big Data an here is why!” Because if you are not utilizing Big Data to help you make better business decisions, you can bet your competitors are.
What is Big Data?
Big Data Laws
Why Big Data?
Industries using Big Data
Current process/SW in SCM
Challenges in SCM industry
How Big data can solve the problems?
Migration to Big data for an SCM industry
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
Big Data Tutorial | What Is Big Data | Big Data Hadoop Tutorial For Beginners...Simplilearn
This presentation about Big Data will help you understand how Big Data evolved over the years, what is Big Data, applications of Big Data, a case study on Big Data, 3 important challenges of Big Data and how Hadoop solved those challenges. The case study talks about Google File System (GFS), where you’ll learn how Google solved its problem of storing increasing user data in early 2000. We’ll also look at the history of Hadoop, its ecosystem and a brief introduction to HDFS which is a distributed file system designed to store large volumes of data and MapReduce which allows parallel processing of data. In the end, we’ll run through some basic HDFS commands and see how to perform wordcount using MapReduce. Now, let us get started and understand Big Data in detail.
Below topics are explained in this Big Data presentation for beginners:
1. Evolution of Big Data
2. Why Big Data?
3. What is Big Data?
4. Challenges of Big Data
5. Hadoop as a solution
6. MapReduce algorithm
7. Demo on HDFS and MapReduce
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Big Data Ppt PowerPoint Presentation Slides SlideTeam
Big data has brought about a revolution in the field of information technology. Our content-ready big data PPT PowerPoint presentation slides shed light on the importance and relevance of large volumes of data. The data management presentation covers myriad of topics such as big data sources, market forecast, 3 Vs, technologies, workflow, data analytics process, impact, benefit, future, opportunity and challenges, and many additional slides containing graphs and charts. The biggest benefit that this big data analytics presentation template offers is that it enables you to unearth the information that can be used to shape the future of your business. Moreover, these designs can also be utilized to craft your own presentation on predictive analytics, data processing application, database, cloud computing, business intelligence, and user behavior analytics. Download big data PPT visuals which will help you make accurate business decisions. Enlighten folks on fraud with our Big Data PPt PowerPoint Presentation Slides. Convince them to be highly alert.
I've shown you in this ppt, the difference between Data and Big Data. How Big Data is generated, Opportunities with Big Data, Problem occurred in Big Data, solution of that problem, Big Data tools, What is Data Science & how it's related with the Big Data, Data Scientist vs Data Analyst. At last, one Real-life scenario where Big data, data scientists, and data analysts work together.
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
A Seminar Presentation on Big Data for Students.
Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...Simplilearn
The presentation about Big Data Analytics will help you know why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail.
Below are explained in this Big Data analytics tutorial:
1. Why Big Data analytics?
2. What is Big Data analytics?
3. Lifecycle of Big Data analytics
4. Types of Big Data analytics
5. Tools used in Big Data analytics
6. Big Data application domains
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Disclaimer :
The images, company, product and service names that are used in this presentation, are for illustration purposes only. All trademarks and registered trademarks are the property of their respective owners.
Data/Image collected from various sources from Internet.
Intention was to present the big picture of Big Data & Hadoop
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Big Data may well be the Next Big Thing in the IT world. 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.
Big Data Ppt PowerPoint Presentation Slides SlideTeam
Big data has brought about a revolution in the field of information technology. Our content-ready big data PPT PowerPoint presentation slides shed light on the importance and relevance of large volumes of data. The data management presentation covers myriad of topics such as big data sources, market forecast, 3 Vs, technologies, workflow, data analytics process, impact, benefit, future, opportunity and challenges, and many additional slides containing graphs and charts. The biggest benefit that this big data analytics presentation template offers is that it enables you to unearth the information that can be used to shape the future of your business. Moreover, these designs can also be utilized to craft your own presentation on predictive analytics, data processing application, database, cloud computing, business intelligence, and user behavior analytics. Download big data PPT visuals which will help you make accurate business decisions. Enlighten folks on fraud with our Big Data PPt PowerPoint Presentation Slides. Convince them to be highly alert.
I've shown you in this ppt, the difference between Data and Big Data. How Big Data is generated, Opportunities with Big Data, Problem occurred in Big Data, solution of that problem, Big Data tools, What is Data Science & how it's related with the Big Data, Data Scientist vs Data Analyst. At last, one Real-life scenario where Big data, data scientists, and data analysts work together.
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
A Seminar Presentation on Big Data for Students.
Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...Simplilearn
The presentation about Big Data Analytics will help you know why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail.
Below are explained in this Big Data analytics tutorial:
1. Why Big Data analytics?
2. What is Big Data analytics?
3. Lifecycle of Big Data analytics
4. Types of Big Data analytics
5. Tools used in Big Data analytics
6. Big Data application domains
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Disclaimer :
The images, company, product and service names that are used in this presentation, are for illustration purposes only. All trademarks and registered trademarks are the property of their respective owners.
Data/Image collected from various sources from Internet.
Intention was to present the big picture of Big Data & Hadoop
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Big Data may well be the Next Big Thing in the IT world. 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.
In this presentation Juan M. Huerta talks about big data adoption process at Citi, realising the technical value of big data and global solutions. Huerta goes on to talk about following a hybrid approach, and the future of analytics, expensive algorithms applied to large datasets. With Citi using these approaches in hopes of getting even wider global recognition.
Welcome to the Age of Big Data in Banking Andy Hirst
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013
Big Data as Competitive Advantage in Financial ServicesCloudera, Inc.
Financial firms are under pressure to grow their business while containing risk and complying with many regulations world-wide. In addition, there is the growing demand from customers to improve their experience and offer new services over multiple channels.
Data is at the core of these capabilities but there are many challenges to overcome: fragmentation, security, quality, privacy, retention, to name a few.
We are going to hear about trends in the industry from IDC Financial Insights Research Director Bill Fearnley, followed by a discussion about how Cloudera has helped Transamerica turn their data into competitive advantage by creating an Enterprise Marketing and Analytics Engine.
IES Faculty - Intelligent Big Data: Opportunities for Real Estate Asset Manag...IES VE
Thomas Bouriot, of Tuffin Ferraby Taylor LLP, was a guest speaker at our IES Faculty event, that took place in London on 27th April, 2016. Thomas' presentation looks at the opportunities that big data provides for real estate asset management.
Analytics in Financial Services: Keynote Presentation for TDWI and NY Tech Co...Fitzgerald Analytics, Inc.
Keynote Presentation Given in New York City on March 30th, at a joint event of The Data Warehousing Institute (TDWI) and the New York Technology Council. This keynote presentation by Jaime Fitzgerald focused on "Bridging the Gap" between business goals in the data and analytic enablers of achieving these goals.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Online Fraud Detection Using Big Data Analytics WebinarDatameer
With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud.
Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics.
In this webinar, you will take away:
*An understanding of the complexities and challenges of online fraud today
*Best practices for merchants and companies to protect themselves from fraud
*A demonstration of fraud reporting, prevention and prediction
Выступление Александра Фонарева (Rubbles) на International Conference on Big Data and its Applications (ICBDA).
ICBDA — конференция для предпринимателей и разработчиков о том, как эффективно решать бизнес-задачи с помощью анализа больших данных.
http://icbda2015.org/
As firms move from siloed, transaction-oriented systems to more integrated,
socially aware ones, they will face challenges related to customer data. “Big data”
is characterized by increases in data volume, velocity, variety, and variability. To
improve customer engagement, companies must invest in solutions to effectively
manage big data.
Modernizing Your IT Infrastructure with Hadoop - Cloudera Summer Webinar Seri...Cloudera, Inc.
You will also learn how to understand key challenges when deploying a Hadoop cluster in production, manage the entire Hadoop lifecycle using a single management console, deliver integrated management of the entire cluster to maximize IT and business agility.
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separ...IT Network marcus evans
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separating Hype from Reality by Ian Forrester, Managing Consultant, Inside Info
Australian cio summit 2012 bill frangeskakis news releaseTurning Business D...IT Network marcus evans
Turning Business Data into Dollars: Interview with: Bill Frangeskakis, General Manager, Frontline, a sponsor company at the marcus evans Australian CIO Summit 2012, on using data to produce stronger results.
Karya develops mobile application services that fits the unique needs of your business. Our Mobile Application Services helps the users to better utilize the power of Mobile Technology.
Similar to Big Data in Financial Services: How to Improve Performance with Data-Driven Decisions (20)
The world is quite a different place than it was six months ago, and with the 2020 holiday season fast approaching, the pressure is on to meet revenue goals in what’s been an uncertain year.
In August, we surveyed 154 marketing executives to find out what they think is likely to happen this holiday season and how they are preparing for it. The results are fascinating, and we’ve distilled them into clear actions you can take right now to adapt and prepare for a very different 2020 holiday season.
In this webinar, Eric Enge (Principal, Digital Marketing at Perficient) and Jim Hertzfeld (Chief Strategist, Digital at Perficient) discussed:
How marketers have already adapted and where they see the most opportunity moving forward
What will be different this holiday season and how to adjust your strategy accordingly
Ways to identify and meet changing customer expectations, wants, and needs
How to determine if your priorities or investments should change
What actions you can take right now to be successful
Transforming Pharmacovigilance Workflows with AI & Automation Perficient, Inc.
Medical information call centers have an opportunity to transform the way they capture, code, and analyze adverse events (AEs) and product quality complaints (PQCs) with artificial intelligence (AI) and automation.
The use of such innovative technology improves data quality and consistency, compliance, and operational efficiency. It helps reduce the frequency of your pharmacovigilance (PV) operations resources going home, saying, “I have more to do at the end of the day than I did when I started."
Our one-hour, on-demand webinar shows you how you can use AI and automation to turbo-charge your end-to-end PV system. Use cases and demonstrations will include:
Analyzing safety data
Auto-coding verbatim terms to official medical dictionary terms
Auto-creating an AE case in your database
Converting speech to text
The Secret to Acquiring and Retaining Customers in Financial ServicesPerficient, Inc.
Data, when leveraged effectively, can help you segment and target customers, analyze spending habits, and can create a personalized experience that builds value and customer loyalty.
Without a 360-degree view of your customers, you can’t properly target them with real-time personalized offers, advice, and other services. In addition, lack of customer intelligence creates lost opportunities for banks and insurers to cross-sell and upsell new products and services.
Our one-hour webinar covered how customer intelligence platforms can help you engage, acquire, and retain customers.
Oracle Strategic Modeling Live: Defined. Discussed. Demonstrated.Perficient, Inc.
The only thing certain about forecasting in a volatile economy is that the future is unpredictable. Historically, organizations have effectively utilized statistical techniques for short-term business planning, but leveraging actuals no longer allows us to predict the future. The ability to be prepared, responsive, and agile under these conditions is becoming a crucial success factor. Oracle Strategic Modeling can help you better navigate change to cope with uncertainty.
If your CFO’s questions regarding earnings, liquidity, and cash flow are unceasing and far-reaching, watch our on-demand webinar for a deep dive into strategic modeling. We modeled real-world scenarios to show how you can:
Quickly and easily develop a hierarchical model of your business
Leverage multiple pre-built functions to forecast key performance drivers
Provide transparency on forecasted financials via audit trail
Utilize goal seek to set financial targets and estimate the financials drivers necessary to achieve it
Perform sophisticated “what-if” analysis via simulations to improve the accuracy of your forecast
Use built-in dashboard functionality to deliver powerful reporting capabilities
While many stay-at-home orders have been lifted, consumers’ new digital buying behaviors and habits are here to stay. Watch our panel discussion on the accelerated need for commerce and learn how commerce and content can transform our digital economy.
Topics include:
-What is the “experience economy” and how do you leverage it? -If you move beyond product and price, what’s next?
-How business models have shifted and what you can do to break down silos and leverage new processes to capture the digital dollar.
-How organizations have built agile teams to address the ever-changing needs of customers, including responsive approaches that address the omnichannel consumer.
-Technologies that are best suited to enable your business and customers – and how headless commerce has changed the game.
-How the future of commerce is changing, and what you should do now to prepare.
Our panel features Jordan Jewell, IDC Research analyst known for his insight into the commerce industry. Joining him from Perficient is general manager Brian Beckham, who brings deep expertise in content management and empowering organizations in their digital transformations. Rounding out the panel is Episerver’s Joey Moore, who has spent the last decade helping organizations across the globe advance their digital maturity.
Centene's Financial Transformation Journey: A OneStream Success StoryPerficient, Inc.
Centene, a large multi-line managed care organization, was looking to modernize and streamline its corporate performance management (CPM) applications.
Centene had to move data between platforms multiple times during the close process so that close data could be fully consolidated and made available for reporting. This process had numerous challenges and inefficiencies that Centene wished to improve upon so that they could provide a more streamlined and more transparent process to the functional teams that leverage consolidated financials in their systems for reporting and analysis.
Centene chose OneStream XF for global and US consolidations, currency conversion, eliminations, and ownership percentage.
Michael Vannoni, director, financial systems solutions discussed the migration to OneStream XF including:
-Factors leading to the selection of OneStream XF
-Details of the solution design
-Benefits realized with global consolidation implementation
-Future planned enhancements
WHODrug Koda, developed by Uppsala Monitoring Centre (UMC), is an automated coding service, which uses artificial intelligence (AI) to automate the coding of drug names and ATC selections, improving consistency and operational efficiency. It can also be used to accelerate dictionary upgrades, including the transition from WHODrug B2 format to B3.
Through API (Application Programming Interface) web services, the coding engine can be integrated with custom or off-the-shelf drug safety, medical coding, or data management systems.
In this webinar, Perficient and UMC discussed WHODrug Koda and how you can integrate it into your medical coding activities.
Preparing for Your Oracle, Medidata, and Veeva CTMS Migration ProjectPerficient, Inc.
There are multiple reasons why companies migrate to a new clinical trial management system (CTMS). Still, the two most common are mergers and acquisitions (i.e., CTMS consolidation) and the desire to switch CTMS vendors. Regardless of the reason, many of the best practices, processes, and tools are the same.
In this webinar, we looked at the migration approaches taken across several case studies. You’ll come away with an understanding of:
Pros and cons of each CTMS migration method
Types of migration tools, including APIs, ETL tools, and adapters
Approximate timelines and costs associated with each migration method
The topics discussed in this webinar can be applied to any CTMS migration project, whether you’re moving to or from Oracle’s Siebel CTMS, Medidata’s Rave CTMS, and Veeva’s Vault CTMS.
Accelerating Partner Management: How Manufacturers Can Navigate Covid-19Perficient, Inc.
The pandemic has ushered in a new normal for manufacturers, and the impact of digital communication is more important than ever.
View our on-demand webinar with Tony Kratovil, Regional Vice President of Manufacturing at Salesforce, and Eric Dukart, National Sales Executive at Perficient. They covered why the right digital strategies are critical for manufacturers in the wake of COVID-19.
Our webinar covered:
Current challenges with forecasting, collaboration, and disruptions to distribution networks.
Insights for stabilizing operations, accelerating partner management, and developing a digital strategy that differentiates your business.
Candid Q&A with real-world examples.
New Work.com resources to help manufacturers restart safely and rebuild.
Tools and resources to move forward – fast.
The Critical Role of Audience Intelligence with Eric Enge and Rand FishkinPerficient, Inc.
Things move quickly in marketing. How do you identify what your customers need and how you can help? Now more than ever, audience intelligence is the key.
Audience intelligence is about understanding your target customers, their needs, what resonates with them, and how you can reach them. Eric Enge (Digital Marketing Principal, Perficient) and Rand Fishkin (Co-Founder & CEO, SparkToro) discussed this topic live on May 7, 2020. Watch to hear tactics for gaining a better understanding of your customers, how to use audience intelligence to optimize your marketing now, and more.
Cardtronics, the global leader in ATM deployment and management, decided to retire its on-premises Hyperion solution to gain the operational efficiencies, features, and functionality provided by a best-in-class cloud solution.
Cardtronics chose Oracle EPM Cloud including Financial Consolidation and Close, Planning, Management Reporting, Account Reconciliation, Enterprise Data Management, as well as Oracle Analytics Cloud.
In this video, project owner Richard Ng, director, financial systems, Cardtronics, discusses the migration to Oracle EPM Cloud including:
Multi-release 18-month deployment schedule across multiple countries
Benefits of a global Chart of Accounts for ERP and EPM
Seamless integration across ERP Cloud, HCM Cloud, and EPM Cloud
Preparing for Project Cortex and the Future of Knowledge ManagementPerficient, Inc.
Microsoft has turned traditional enterprise content management on its head with its recent announcement of Project Cortex.
Project Cortex uses advanced artificial intelligence to harness collective knowledge from across the enterprise and automatically organize it into shared topics like projects, products, processes, and customers. Using AI, Cortex creates a knowledge network based on relationships among topics, content, and people and delivers it in the apps you use every day – Office, Outlook, and Teams.
This webinar examined Project Cortex in more detail, including:
• What is Project Cortex?
• Why is Project Cortex different than other knowledge network projects previously introduced?
• How does incorporating AI and automation change the game?
• What is possible with Project Cortex?
• What can you do to prepare?
Utilizing Microsoft 365 Security for Remote Work Perficient, Inc.
With an increasingly mobile workforce, and the spread of shadow IT, the rapid rise of cybercrime - companies must find unique ways to effectively manage their sprawling SaaS portfolio.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Big Data in Financial Services: How to Improve Performance with Data-Driven Decisions
1. Big Data in Financial Services:
How to Improve Performance with
Data-Driven Decisions
November 28, 2012
2. About Perficient
Perficient is a leading information technology consulting firm serving clients
throughout North America.
We help clients implement business-driven technology solutions that integrate
business processes, improve worker productivity, increase customer loyalty and create
a more agile enterprise to better respond to new business opportunities.
3. Perficient Profile
Founded in 1997
Public, NASDAQ: PRFT
2012 Projected Revenue of $320 Million
Major market locations throughout North America
— Atlanta, Austin, Charlotte, Chicago, Cincinnati, Cleveland,
Columbus, Dallas, Denver, Detroit, Fairfax, Houston,
Indianapolis, Los Angeles, Minneapolis, New Orleans,
Philadelphia, San Francisco, San Jose, Southern California,
St. Louis and Toronto
Global delivery centers in China, Europe and India
2,000+ colleagues
Dedicated solution practices
87% repeat business rate
Alliance partnerships with major technology vendors
Multiple vendor/industry technology and growth awards
4. Our Solutions Expertise & Services
Consulting Services Perficient Solutions
• Big Data Strategy & Roadmap - Enterprise Application Integration
• Big Data Assessment - Business Intelligence
• Architecture Planning & Platform - Business Process Management
Selection - Enterprise Architecture
• Master Data Management - eCommerce
• Data Governance - Customer Relationship Management
• Regulatory Compliance Assessment - Enterprise Content Management
- Master Data Management
BI & Analytics Capabilities - Portal / Collaboration
• BI/Big Data Implementations - User Experience
• Risk and Fraud Detection - Mobile Solutions
• Social Analytics
• Cloud Analytics
• Real-time Analytics
• Self-service Analytics Perficient brings deep solutions expertise and
offers a complete set of flexible services to help
clients implement business-driven IT solutions.
5. Our Speakers
Mike Panzarella, Director, Financial Services Practice
With 20 years of experience with Big Four consulting and
commercial banking, Mike has expertise in BI platform architectures
for Fortune 100 financial service firms with a focus on social media
and mobile convergence. Mike has extensive experience in
designing and implementing Big Data solutions for Fortune 100
companies.
Jeff Fisher, Director, FS Practice Operations &
Advisory Services
With over 20 years of experience as a technology leader with global
enterprise organizations, Jeff has a proven track record of success
leading technology teams in financial services organizations.
6. What We Will Cover
Va l u e o f B i g Big Data
About Us Data Tr e n d s
Challenges Effective Strategies
Leverage IT
Next Steps Investments Q & A
9. What is Big Data?
Extracting insight from an immense volume, variety and velocity
of data, in context, beyond what was previously possible.
10. Business Impacts of Big Data
44x
as much Data & Content
2020
35 zettabytes
Business leaders frequently
Over Coming Decade 1 in 3 make decisions based on
information they don’t trust, or
don’t have
1 in 2 Business leaders say they don’t
have access to the information
they need to do their jobs
of CIOs cited “Business
2009
800,000 petabytes
80+% 83% intelligence and analytics” as
part of their visionary plans
to enhance competitiveness
Of world’s data
is unstructured of CEOs need to do a better job
60% capturing and understanding
information rapidly in order to
make swift business decisions
11. Traditional Analytics
• Managed schema
• Data in many siloes
• Customer view not always federated across the enterprise
• Slowly changing facts and dimensions
12. Value to the Enterprise
Customer-centric Outcomes
• Retail mobile offers based on
preferences or buying patterns
• Model targeting done with online
banking offers based on
Functional Outcomes
• Collect KPI and metrics for Enterprise
Performance Management (EPM)
• Compliance checks and audits
Source: CMSwire, IBM: The Business, IT Case
for Big Data Investments (Oct. 31, 2012)
13. Big Data Challenges
Economy Trust
Uncertain global conditions are Rebuilding customer trust
affecting revenue and reducing and marketplace
IT spending. confidence is critical to
future growth.
Competition Regulation
Intensifying with Radically increased
mergers, oversight is driving
acquisitions, and non- investment in risk
traditional entrants. management
technology.
Customers
Consumers have rapidly
evolving expectations for
$ Capitalization
Mature and emerging market
segments are focus on
offerings and services. optimizing use of capital.
14. Value to the Enterprise
Payments
Big data can detect and prevent a wire
Branch management transfer incidents of fraud.
Big data interprets which branches
or products are performing the
best. Executive leaders
Big data enables more effective
business decisions using accurate
data across all time horizons.
Relationship
management
Big data considers the risk
and profitability of the
entire customer
Risk and finance
relationship when pricing
Big data streamlines
new deals.
compliance and
Marketing understand risk exposure
Big data predicts the right across businesses and
offer for the right customer at regions.
the right time.
Source: IBM Corporation
15. Meaningful Data Drives Quality Decisions
Marketing & Solicitation Increase flexibility and
What channels are more
streamline operations
effective to solicit customers?
How do I deliver real-time
Is our customer portal an insight at the point of impact?
effective tool for offering new
products? How do I provide better
executive visibility into
Are our products enterprise performance?
competitively priced?
How do I manage the
evolving risk landscape?
Optimize enterprise Create a customer-
risk management focused enterprise
Who are my ideal customers
Am I able to effectively identify and how do I attract them?
fraud before it occurs?
Could I improve credit How do I retain my most
underwriting? profitable customers?
16. Big Data Capabilities
Required Capabilities of Big Data:
• Processing
• Data Management
Big Data
• Services
Hadoop
Distributed file system
DATA
GOVERNANCE IS
CHALLENGE RDBMS vs. Hadoop
16
17. Bank’s Application Data
Tendency to Apply Intuition Tendency to Apply Analytics
Financial management and budgeting
Operations and production
Preferred Big Data Approaches
Strategy and business development
Optimized software-only solutions like Hadoop 37% Sales and marketing
Scale up existing relational technologies 33% Customer Service
Product research & development
Cloud infrastructure or service providers 32%
General management
In-memory databases 29%
Risk management
Business intelligence appliances 28% Customer experience management
Brand or market management
Columnar RDBMS 23%
Workforce planning and allocation
1 2 3 4 5 6 7 8
21. Big Data Trends
Appliance Big Data Platform
Appliances provide pre-certified
platforms :
• Reduces time to implement
• Allows the business to focus on
Analysis not set-up and configuration
• Less impact to internal Network
Infrastructure
22. Tailored Cloud Services
Cloud-based Infrastructures
• Low-cost, low-risk solution
• Scalable without impact to internal
networks and infrastructure
• Great first step to “test the water”
24. Big Data Challenges
• Hard to
quantify
value to the
enterprise
• Data
Scientists
roles are
difficult to fill
• Difficult to
design
effective
visualization
and reporting
of new data
sets
24
25. Data Governance
Data Governance Applies to Big Data
Transactional &
Collaborative Business Analytic
Applications Applications
Integrate Analyze
Master Big Data
Data www
Data
Warehouses Structured
Manage Data
Streams
External
Information Big Data
Data
Sources Appliances
Content
Streaming
Information
Security &
Govern Lifecycle Privacy
Quality Management
25
27. Data Governance Focus Areas
TOOLS
DATA ARCHITECTURE STANDARDS
METADATA
ORGANIZATION & Master Data MANAGEMENT
PROCESS
Governance
DATA QUALITY &
METRICS
STEWARDSHIP
STRATEGY
27
28. Effective Big Data Strategies
Dispelling the Skepticism
• Integration with existing infrastructure can be loosely
or deeply integrated based on value and need
• Leverage service providers and don’t be afraid to use
existing talent to fill “Data Scientist” roles
• Very real value for clickstream analysis, log file
analysis and voice of customer (VOC) are quick wins
(internal & external)
29. Effective Big Data Strategies
Align Business Needs and Prioritize Quick Wins
Core values for big data success: Leadership: Form big data Staffing: Skills in the operating
- Find new value from existing data steering committee with executive platforms and systems to manage
- Look for data from new sources sponsorship to drive consensus big data are essential
- Learn to capitalize on social and align business goals
collaboration tools
- Be customer centric - look at the Analytics: Leverage big data Implementation: Utilize a
data from their view patterns; incorporate big data proof concept against a small
- Business and technology technology and make current data business unit with deep domain
collaboration analytics and storage more flexible knowledge of analytics
- Exchange value with proprietary
data sources
- Center of excellence for analytics Network: Network layer and Performance Drivers: Set
- Promote the capability enterprise dedicated segments need to be obtainable goals with incremental
wide optimized to work with velocity deliverables to avoid being
requirements for “streaming overwhelmed by big data
analytics”
Be on the Lookout for…
Distribution Maturity: Commercial distributions of Hadoop include
Cloudera, MapR, Hortonworks, InfoSphere, BigInsights, EMC Greenplum HD, and others. Expect the Hadoop
framework to be expanded and leveraged by many more technology vendors. Evolving NoSQL solutions such as
Cassandra and Neo4j offer additional big data options.
30. Effective Big Data Strategies
Built around an optimized and integrated back office—one that
leverages advancements in technology, global integration
opportunities and a continuous flow of data to cut costs, drive
speed and further innovation.
OUTSOURCING
GENERIC FUNCTIONS
PRODUCT
INNOVATION
ARCHITECTURE RENEWAL
AND IT RENOVATION
PAYMENT
CONSOLIDATION
BUSINESSS AND
FINANCIAL REPORTING
RISK SYSTEMS
INTEGRATION
31. Consistent Channel
Drawing on marketplace insights and engaging customers as co-developers:
• Tailor products and services on demand
• Delivers through an ever-evolving and increasingly interconnected set of channels
• Ensuring consistency across any channel is crucial
Bank location
MOBILE BANKING MICROFINANCE
Phone ATM
SOCIAL POINT OF SALE AS ATM
NETWORKING
Point
Web
of sale
Mail
32. Effective Big Data Strategies
Enriched Data Improves Management Decision Making
32
34. Effective Big Data Strategies
Sentiment Analysis /
Voice of Customer
Improve the customer experience across Predictive
channels using:
• Hadoop and other tools
Analytics
• Unstructured feedback and social data • Efficient fraud detection
• Online customer surveys & online chat • Cross-selling of products and
• Click-stream data services
• Emails • Targeted advertising and
marketing campaigns
Social & Text • Customer loyalty and rewards
programs
Analytics • Effective business strategies and
• Increase engagement to improve informed decisions
acquisition
• Reduce customer service response times
• Adapt marketing and sales strategies
• Track customer behavior and preferences
• Engage with social influencers
34
35. Effective Big Data Strategies
Business-driven Support for
Your Big Data Strategy
• Business Assessment
• Data Governance Assessment
• Big Data Strategy & Roadmap
• Technology Selection
• Architecture Design
• Cloud Services
• Implementation Services
• Big Data Analytics Support
• Big Data Talent
36. Connect with Perficient
SUBSCRIBE TO PERFICIENT BLOGS ONLINE
http://Blogs.Perficient.com/FinancialServices /
FOLLOW PERFICIENT ON TWITTER
w w w . Tw i t t e r . c o m / P e r f i c i e n t _ F S
BECOME A FAN OF PERFICIENT ON FACEBOOK
w w w. F aceb o o k. co m/ Perfi ci en t
D O W N L O AD P E R F I C I E N T W H I T E PAP E R S
w w w. Perfi ci en t. co m/ W hi tePap ers
Editor's Notes
Business Driven solutions to the right – on the left formulate MDM, BI/Big Data Services
Pause for Big Data Poll
From an analytics; here are business outcomes
Vector Illustration
Process, data mgmt, infrastructure
Drive insight from highly disparate and unstructured data sources. The obstacle is when data grows beyond the limits and processing capabilities of relational database management systems. Focus on leveraging data for future use - predicting future events. Solution: Handle all of this data without bringing it into another data warehouse. Use it for fast and fact-based decisions that lead to real business value. The need to capture data in any form from disparet databases.
Add Sungard’s Big Data trends PR from June 2012? Output to their own store, then use ETL to put into their RDBMS.Move the actually Big Data development trends elsewhere??? Keep this slide focused on business functions
InformationWeek 2012 Big Data Survey Information Management being critical to big data
Extensive number of data sources, combined with the complexity and magnitude of data transformation in the enterprise, Data Governance is needed even more so today. Speak to quality, lifecycle management, and Security.
According to an article in CIO Magazine on Oct. 31, 2012 quoting a recent Big Data Executive Survey from New Vantage Partners “70% of respondents say they plan to hire data scientists
Delete
Supporting the 360 degree view, the implementation of
Total respondents - 1469
Use Financial Services “offerings” to talk about what we’ll be talking about at BAI