Big Data Analytics & iot is taking the sports world by storm. Find out how advanced analytics can help you improve with BizViz Platform for Sports Analytics
Big Data and Analytics are playing an important role to improve the performance of game and players on the field, off the field through predictive decisions.
Sports Analytics Innovation Summit - Data Powered StorytellingNuno Santos
BrandEmotivity Keynote speech at the Sports Analytics Innovation Summit, Boston, 2013.
Winning in the HyperDigital Age - Equipment, Data, Storytelling. How to motivate Athletes and Engage Fans through data powered Storytelling.
We had an opportunity to talk with Kitman Labs about ways big data is leveraged for baseball. The following slides are highlights from our Twitter chat with them.
Big Data and Analytics are playing an important role to improve the performance of game and players on the field, off the field through predictive decisions.
Sports Analytics Innovation Summit - Data Powered StorytellingNuno Santos
BrandEmotivity Keynote speech at the Sports Analytics Innovation Summit, Boston, 2013.
Winning in the HyperDigital Age - Equipment, Data, Storytelling. How to motivate Athletes and Engage Fans through data powered Storytelling.
We had an opportunity to talk with Kitman Labs about ways big data is leveraged for baseball. The following slides are highlights from our Twitter chat with them.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
So what is SAP HANA? How can it help my area (Line of Business) and our business overall!. Presentation lays out BASICS and how can help users enable their area/business "Real time".
How will sports marketers—from leagues, teams, and athletes to brands and properties—use social media to reach consumers in 2012. Activ8Social has selected 10 critical areas that we believe will fundamentally impact fans and sports marketers alike.
Second Screen Strategy: Planning For (And Against) A Multi-Screen WorldBen Grossman
Today, 90% of media consumption is screen based. In 2014, the number of mobile devices in the world will exceed the global population. By 2018, there will be 1.4 connected mobile devices per person. That means that, as people move through the world, they will increasingly move with at least one other screen in hand (and even more devices on hand).
While the Second Screen revolution may have started with distracted television viewers, today, the multi-screen world demands marketers who know how to plan for it. This presentation breaks down second screen strategy into actionable advice for brands and marketers. These trends in consumer behavior apply to all brands that seek to connect with the people who matter most to them in an increasingly screen-based world. It has been presented at the Nordic Media Summit (Copenhagen) and the Event Marketing Summit (Salt Lake City).
The world of sports has been transformed by the digital revolution. Real-time data and statistics are now an integral part of how fans, teams, leagues, and media outlets experience and analyze sports. As a professional sports writer with over 10 years of experience, I've witnessed firsthand how sports data has evolved and enabled new possibilities for enhancing the sports experience.
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Shrikant Mandlik
The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere.
Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems?
Lets start with the story of Babe Ruth. The “Babe” used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the “Babe” would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the “Babe” out and “Babe Ruth” could hit with ease, winning the game defying the statisticians.
So, Babe Ruth used sports analytics in the 1930’s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics.
Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called “Curse of the Bambino.” John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for
business to organize and manage teams.
Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal.
Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate
The Essential Role of Data Feeds in Modern FootballDataSportsGroup
The beautiful game of football has come a long way from its early days of leather balls and sparse statistics. Today, football is a data-driven sport. Teams utilize advanced analytics and technology to gain every possible advantage, while fans crave up-to-the-second stats and insights into their favorite players and clubs. This increasing data dependence has created a huge demand for football data feeds packed with real-time information.
Scoring with Data: The Role of Football APIs in the Modern GameDataSportsGroup
Explore the transformative influence of data analytics in the world of football. It delves into the essential role played by football data APIs and feeds, highlighting their impact on various aspects of the sport. From enhancing fan engagement to providing valuable insights for teams and coaches, data analytics is reshaping football and even powering fantasy football experiences. Discover how this data-driven revolution is changing the game we love.
Analytics & big data can act as valuable drivers in many industries by providing information that drives core business decisions. https://www.promptcloud.com
So what is SAP HANA? How can it help my area (Line of Business) and our business overall!. Presentation lays out BASICS and how can help users enable their area/business "Real time".
How will sports marketers—from leagues, teams, and athletes to brands and properties—use social media to reach consumers in 2012. Activ8Social has selected 10 critical areas that we believe will fundamentally impact fans and sports marketers alike.
Second Screen Strategy: Planning For (And Against) A Multi-Screen WorldBen Grossman
Today, 90% of media consumption is screen based. In 2014, the number of mobile devices in the world will exceed the global population. By 2018, there will be 1.4 connected mobile devices per person. That means that, as people move through the world, they will increasingly move with at least one other screen in hand (and even more devices on hand).
While the Second Screen revolution may have started with distracted television viewers, today, the multi-screen world demands marketers who know how to plan for it. This presentation breaks down second screen strategy into actionable advice for brands and marketers. These trends in consumer behavior apply to all brands that seek to connect with the people who matter most to them in an increasingly screen-based world. It has been presented at the Nordic Media Summit (Copenhagen) and the Event Marketing Summit (Salt Lake City).
The world of sports has been transformed by the digital revolution. Real-time data and statistics are now an integral part of how fans, teams, leagues, and media outlets experience and analyze sports. As a professional sports writer with over 10 years of experience, I've witnessed firsthand how sports data has evolved and enabled new possibilities for enhancing the sports experience.
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Shrikant Mandlik
The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere.
Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems?
Lets start with the story of Babe Ruth. The “Babe” used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the “Babe” would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the “Babe” out and “Babe Ruth” could hit with ease, winning the game defying the statisticians.
So, Babe Ruth used sports analytics in the 1930’s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics.
Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called “Curse of the Bambino.” John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for
business to organize and manage teams.
Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal.
Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate
The Essential Role of Data Feeds in Modern FootballDataSportsGroup
The beautiful game of football has come a long way from its early days of leather balls and sparse statistics. Today, football is a data-driven sport. Teams utilize advanced analytics and technology to gain every possible advantage, while fans crave up-to-the-second stats and insights into their favorite players and clubs. This increasing data dependence has created a huge demand for football data feeds packed with real-time information.
Scoring with Data: The Role of Football APIs in the Modern GameDataSportsGroup
Explore the transformative influence of data analytics in the world of football. It delves into the essential role played by football data APIs and feeds, highlighting their impact on various aspects of the sport. From enhancing fan engagement to providing valuable insights for teams and coaches, data analytics is reshaping football and even powering fantasy football experiences. Discover how this data-driven revolution is changing the game we love.
The Evolution and Power of Football Data Feeds.pdfDataSportsGroup
Discover how innovations in football data collection and delivery have transformed the way we experience the game. Explore the journey from basic stats to live play-level data feeds, and learn how developers and analysts are leveraging this wealth of information through APIs. Uncover the myriad applications, from predictive injury models to augmented reality experiences, that have become possible with access to real-time, granular football data. Dive into the future, where data quality, speed, and new technologies promise even richer insights for fans, teams, and analysts. Whether you're a stats enthusiast, bettor, fantasy player, or developer, this blog unveils the immense potential of modern football data.
Artificial Intelligence (AI) technologies are evolving fast and growing increasingly critical for a sporting organisation’s ability to:
- win games;
- improve coaches and players;
- manage internal operations; and
- grow, serve and retain their fans.
The imperative exists for sporting teams not to just adopt a singular AI technology but rather to have access to an arsenal of AI technologies that will improve their ability to generate and act on critical insights; whether it’s fan engagement, talent identification, pre-game preparation or in-game real-time facilitation.
This paper explores some of the specific AI applications being experimented across sporting codes, learnings from other sports and the current AI market. I also pose some ethical questions the sporting industry need to consider before introducing AI technologies into their codes.
End-to-End Digital Transformation Consulting Services. We help businesses build technology, Shape Ideas, Scale Faster. We are engineer who create scalable, high performance digital solution to solve business challenges for
startups, entrepreneurs and enterprise.
Our vision is to create value for our clients, people, shareholders and partners. Our core value of shared success will guide us to become a leading service provider in the information technology space.
In this project, we will be analyzing the ways to increase the fan satisfaction by making up a strong offensive team of soccer players without having much impact on the revenue. By looking at the dataset, it is conspicuous that acquiring excellent players and winning games with them have an impact on the fan loyalty and the increase in revenue. For better results, the data sets need to be integrated, fed to the data warehouse for processing to extract information that will help in making a physical model to be presented for further knowledge. To achieve this goal, we have planned to start with making dimension tables and fact tables that will provide some insight on the parameters affecting the fan satisfaction without largely affecting the revenue.
Discovering The Best Free Football Scouting Software360 Scouting
Professional football clubs frequently lean on paid scouting software, but these tools can be financially out of reach for smaller clubs and scouts (or fantasy football enthusiasts). Fortunately, there are outstanding free alternatives. In this presentation, we share six of the best options for free football scouting software.
Brandtix, the sports industry’s first ever comprehensive global index platform for real time athlete brand value analytics.
Enabling teams, brands, sponsors, agents, agencies and sports fans to deliver actionable insights to drive superior business outcomes and gain competitive advantage.
MVR is a sports technology company that uses artificial intelligence to test athletic vision, drive, and awareness. These short cognitive assessments have been able to predict success across sports. Research shows that speed, agility, balance, and coordination are all related to cognitive processing demands accurately measured by MVR’s intelligent, cloud-based system that successfully predict in-game performance statistics across amateur and professional ranks in various sports.
Traditional web analytics is now jumping into Gaming platforms: Web Apps, HTML5, IOS, Android, Facebook games. Learn how to measure and collect user engagement data form your games applications, discover which KPIs may be relevant for your business, track your e-commerce transactions and learn how to track your online campaigns.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
2. Introduction to Sports Analytics
How Sports Analytics has been changed in Big Data & IOT era
What are the Key Ingredients of a good Sports Analytics Platform
Introduction to Big Data BizViz Platform
Sample Deployments of Sports Analytics
Cricket World cup 2015
Indian Premier League 2015
How BizViz Platform can be used to create Sports Analytics Platform
Agenda
3. Introduction to Sports Analytics
Sports Analytics size was 125 m$ in 2014 & expected to cross 4.7b$ by 2022.
In Digital World Sports Analytics Comprises of -
Player Analytics – Past Performance, Current Form, Predictive performance on Past, Current, Physical
Condition and many other dimensions,
Operational Analytics – Clubs, Operational Bodies, Boards – P&L, Financial, Sales of Tickets, Branding,
Merchandizing, ROI on players etc.
Coaching Decisions – Competitive Analytics, Past Performances, Venue Analytics, Real time Decisions,
Prescriptive Analytics on different opposition etc.
Digital Experience – Ad Hoc Analytics, Predictive Analytics, Sentiment Analytics, Demographic
Analytics, Big Data Analytics for TV Programs, Commentary etc.
Fan Insights and Engagement – Self Service Analytics to Fans, Analytics based Gaming, Real time
analytics to help fans engaged on betting or discussions etc.
4. How Sports Analytics has been changed in Big Data & IOT era
Digital Revolution, IOT and Big Data is responsible for making Sports Analytics become 40 times
in 8 years.
Social Media, Cloud and Mobility has added Spice to Sports Analytics
Real Time Sentiments are read from Twitter, Facebook or other Sporting websites.
Demographic Analysis is possible to differentiate between geographical emotions
Machine Learning, Real Time data feeds (IOT), Advanced Predictive Algorithms, Fitness Tests of
Players etc. helps Top end Analytics firms to create a different level of Data Analytics
Sports that has started using Extensive Analytics – Soccer, Tennis, Baseball, American Football,
Basket ball, Cricket.
At present this is happening at National Level, League level or in sports having lot of money
Slowly Analytics is moving at Club Level, regional level and other sports.
Fans can also access real time data feeds, Gaming through Analytics etc.
5. Player Predictive Analytics
There are many factors in Winning. Player predictive analytics helps player (s) and improve overall
game performance in different situations.
Gives Player past performances | Overall |Venue related | Current Form
Players play-by-play effectiveness on live performance
Anticipates players strength and weaknesses against the opposition
Biometric data
Tools help to find right player for the game (Selection analysis)
Awards Ranking through predictive analysis of players performance
6. Operational Analytics
Front office – On & Off the field to set a perfect game plan
Design Campaigns – Retain Fans, Add new Fans towards the Game or Franchise
Better Revenues – Increase the accuracy of Front office & Optimize revenue during the game
Pricing Model – Use different predictive analytics to come with a Pricing on different market
segments
Sponsor’s Returns – Sponsors gives money to Sport & how to maximize their ROI? Prescriptive
Analytics to Sponsors.
Merchandising and Managing Fans Emotional Connect – Give discounts to loyal fans etc.
Engage fans on Gaming, Merchandizing etc., make Analytics simple for fans to use to increase
their interest in the game.
7. Coaching Decision Analytics
There are many factors in Winning. Player predictive analytics helps player (s) and improve overall
game performance in different situations.
Coaches can collect real-time data of players from wearable sensor technologies (IOT).
The data can be analyzed in high end servers and real time analytics pushed to managers,
trainers, Physiologist and other coaching staffs on their mobile devices
Live feed of players can be provided on few parameters (different sports need different things)
Speed | Heart Rate | Breathing | Hydration | Fatigue | Pain like in Soccer
Technique | Reflexes | Running Speed | Bowling Speed | Ball Speed like in Cricket
Coaches can help in identifying flaws and weaknesses of a player or entire team and help them
overcome it.
Based on insights provided by data, coaches can decide to rest some player and use some
specific player against a specific opposition on a specific venue etc.
8. Enhancing Digital Experience
Big Data Analytics makes this special – Game is on & It can be personal
Telecasts can show Fans Sentiments from Twitter | Facebook | Club or League Website etc.
Sporting team can directly engage with their fans through their Leagues website.
Fans sentiment can be gauged before, during the match and after the match
Social Media is on fire with engaging and creative player stats.
Platform should provide them comparison with Fantasy drafts which adds to personal
experience
Adding graphic based analysis helps in better commentary
Deeper Analytics aids to expert commentators that makes overall program interesting
9. Fans Insight and Engagement – The Key to Success
Building a loyal Fan base is extremely important and now it is quite easy to know where & who is
your fan. Teams can really analyze and take logical steps to increase their fan base
Read and Analytics Fans Sentiments from Twitter | Facebook | Club or League Website etc.
Most of them are on Social Media.
More personalized content can be created for a Fan using Data Analytics
Fans can be given access to do deep dive in Analytics by themselves
Fans can be asked to participate in Games or to create their own fantasy teams and track their
performance
Match Insights ignites the conversations, discussions between Fans. This is healthy for game.
More Engaged fans means more business opportunities – Merchandizing etc..
Mobile updates to Fans engage them further
10. Key Ingredients of a Sports Analytics Platform
Vertical & Horizontal Scalability – Ability to add features and no of users dynamically
Complex User Management – B-B-C Business User Workflows
Data Security – Fans, Clubs etc.
Cloud based access, Analytics on Mobile
Social Media Analytics – Sentiment Analytics (ability to read data from Social Media)
Ability to manage high loads (during Match time) and reduced loads (during non sporting
days)
Predictive Analytics Tool – Strong Data Scientist team with sports expertise
Ad Hoc Analysis capabilities for everyone
Strong UI and Visualization tools to give Advanced Analytics
Ability to take Polls and Surveys and Feedbacks from Fans on a real time basis
Ability to create a Fan page and engage then One on One
Ability to capture Data from different Databases – Structured and Unstructured
Real Time Analytics, Push Analytics, Pull Analytics
Real Time Messaging Services, In-Memory Computing for analytics in fraction of seconds
Distributed deployment
11. Introduction to BizViz Platform
Most Suitable Analytics Platform to create a Sports Analytics Platform
12. BizViz Architecture Overview
Vertically & Horizontally Scalable
Platform
Integrates with R & Spark M-Lib
for Predictive Analysis
Integrates with comprehensive list
of Big Data Components – Kafka,
Cassandra & Spark
SMAC (Social Media, Mobility
,Analytics, and Cloud) Compatible
Platform
13. Sports Analytics – Cricket World Cup 2015
Match Sentiments - This tab uses our proprietary Sentiment Analytics NLP/Algorithms. This tool has the capability to do
Text Analytics on the fly and can extract text data from Social Media platforms, websites, etc... and push the data into a Big
Data Engine. We then use our NLP capabilities to determine emotions and visualize them via various charts. through our
HTML5 charting Library. This real-time analytics shows Fan’s Sentiments and involvement in the game.
14. Sports Analytics – Cricket World Cup 2015
Players of the Day - This tab uses our plugins called 'Social Media Browser' (SMB). On a nearly real-time basis (data is
refreshed every few minutes but can be refreshed every few seconds by using more capable servers) we are able to extract
relevant data from Twitter and determine which player have Positive, Negative, or Neutral Tweets. We can also collect many
other parameters and plot them on various type of charts on a real-time basis. The tool has the capability to extract data
from Twitter, Facebook and other Sporting websites. This gives us the ability to analyze feedback and sentiment around any
brand/product/person. We can then visualize these emotions within minutes.
15. Sports Analytics – Cricket World Cup 2015
Popular Match Analytics - This tab again uses the power of the 'Social Media Browser' to visualize the popularity of
various players and teams. This tab also tracks the overall popularity of the tournament as a whole and shows how people
are getting engaged as the tournament progresses. This type of analytics is very useful for large corporations to track.
16. Predictive Analytics– Predict the Winning Team dashboard
A Predictive Model was built in by our data
scientist team
Players were given points on the basis of
Algorithms built in
Player Scorecard was built on the basis of
their performance and current forms
System provided ability to choose 11
players dynamically and calculate scores
System could predict the Winning Team
Venue Analytics, Match Conditions &
other factors need to be brought in to
make Algorithms work better
17. Cricket World Cup 2015 – Predict the winning team
Our
Accuracy
42/47
23. How BizViz Platform can be used to create Sports Analytics Platform
It already has all Key Ingredients to a build a Sports Analytics Platform with a dedicated
business workflow and user management for
A Player
A Coach
A Team
A Sporting Body or League or Club (Super Admin Login)
Fan
Data Security – All users
SMAC is in built – Social Media, Analytics, Cloud based platform and Mobility
Social Media Analytics – Sentiment Analytics (ability to read data from Social Media)
Plugins to Provide all type of Analytics – Self Service, Predictive, Big Data, IOT, Mobile Analytics
and Advanced Analytics
Ability to take Polls and Surveys and Feedback Analytics on a real time basis
Ability to capture Data from different Databases – Structured and Unstructured
Real Time Analytics, Push Analytics, Pull Analytics
Real Time Messaging Services, In-Memory Computing for analytics in fraction of seconds
Distributed deployment
24. Suggested High Level Deployment
Multiple Node
Cluster at
different
Geographies
or Specific
Staged
Deployment
5k, 10k, 50k,
100k, 200k or
more users
Predictive
Engine to be
used for
Recommenda
tions.
25. iii
Thank You
For further information, please contact:
Phone: (773)897-0939
e-mail: Sales@bdbizviz.com
Twitter: @bdbizviz