My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics.
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
Succeeding with Analytics: Mastering People, Process, and Technologyibi
Wayne Eckerson and Dr. Rado Kotorov take a journey through the behind-the-scenes characteristics of a great analytics program in this Information Builders Innovation Session presentation.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
AI can give your organization the competitive advantage it needs, but the alarming truth is that only 1 in 10 data science projects ever make it into production. To be successful, organizations must not only correctly design and implement data science, but also raise the data, numerical, and technology literacy across the business.
Attend this webinar to learn what common pitfalls you need to avoid to keep your data science projects from failing. Then Data Scientist Gaby Lio will engage with the audience about project dos and don’ts and leave you with a checklist to ensure your projects success.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
Succeeding with Analytics: Mastering People, Process, and Technologyibi
Wayne Eckerson and Dr. Rado Kotorov take a journey through the behind-the-scenes characteristics of a great analytics program in this Information Builders Innovation Session presentation.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
AI can give your organization the competitive advantage it needs, but the alarming truth is that only 1 in 10 data science projects ever make it into production. To be successful, organizations must not only correctly design and implement data science, but also raise the data, numerical, and technology literacy across the business.
Attend this webinar to learn what common pitfalls you need to avoid to keep your data science projects from failing. Then Data Scientist Gaby Lio will engage with the audience about project dos and don’ts and leave you with a checklist to ensure your projects success.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
An introduction to Aptitude Software.
Here we are providing a quick overview into what we do here at Aptitude Software. Includes case studies and examples of our past and present customers.
Le 13 janvier 2016, l’International Accounting Standards Board (IASB) a publié une nouvelle norme, IFRS 16, Contrats de location. Cette nouvelle norme permet la comptabilisation, par le preneur, de la plupart des contrats de location à l’état de la situation financière selon un modèle unique, faisant disparaître la distinction actuelle entre contrats de location-financement et contrats de location simple. Toutefois, le traitement comptable appliqué par le bailleur demeure essentiellement le même et la distinction entre contrats de location-financement et contrats de location simple reste inchangée.
L’IASB a publié la version définitive de la norme adoptant un modèle unique de comptabilisation par le preneur, alors que le FASB a préféré conserver le modèle double dans sa norme à venir. Toutefois, les deux normes exigent la comptabilisation des actifs et des passifs (à quelques exceptions limitées près).
PMC - THE ENERGY SAVING SOLUTIONS IN OFFICE BUILDINGS’ MANAGEMENT AND OPERATIONPMC WEB
PMC awares that by reducing energy consumption, we contribute to the
sustainable future of each client, partner, employee, community and to our
environment.
In each project managed by PMC, technologies and standard processes are
effectively applied to reduce water and electricity consumption, minimize
waste release to the environment and enhance efficient use of natural energy
sources.
Soft4Leasing - Software for lending and asset finance companies. Obtain opera...Soft4
Soft4Leasing is business software for lending and asset finance companies. The software
is tailored for the leasing business process and adaptable to the unique needs of your
company, helping you obtain operational excellence, reduce risks, support compliance
and promote growth throughout your company. Soft4Leasing is built on the Microsoft
Dynamics NAV platform and thus allows you to enjoy all the advantages of a world-class
ERP system.
The Future of Finance Function 2016 survey sponsored by Aptitude Software.
An insight into the changing role of the CFO and what can be done to ease the transition.
Aptitude Software discuss trends and challenges as telcos in Europe move closer to compliance with IFRS 15 regulations. The accompanying webinar is available on request from patrick.youngs@aptitudesoftware.com
Getting Started with Big Data for Business ManagersDatameer
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before.
Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to:
Approach Big Data and associated business challenges
-- Identify what types of new insights can be revealed by Big Data
-- Staff for this undertaking and implement the technology necessary to be successful
-- Take the first steps toward getting started with Big Data on Hadoop
Hadoop is regarded as a key capability for implementing Big Data initiatives in the enterprise, but organizations have yet to realize its full business benefits. In this webinar, Pivotal and guest Forrester Research, Inc. Identify the use cases driving Hadoop adoption, and explore what is needed to transform initial investments into results.
Learn about:
Challenges Hadoop introduces, and how the right tools and platforms can help address them
Shifts in the industry with regards to SQL and NoSQL systems and their implications to Big Data analytics
Applying in-memory technologies for data management systems, data analytics, transactional processing and operational databases
Watch the on-demand webinar here:
http://www.pivotal.io/big-data/pivotal-forrester-operationalizing-data-analytics-webinar
Learn how to maximize business value from all of your data here: http://www.pivotal.io/big-data/pivotal-hd
Iasa Architect responsibilities in the cloudiasaglobal
Cloud platforms drive marketing campaigns that offer to simplify the hardest challenges of information technology. From resilience to scalability, disaster recovery to management, the cloud platforms offer to take the challenge off of the table forever! It can be easy to ?buy in? to the platform. Too often, we find out later that our responsibility as architects cannot ?end at the door? to the provider, that there are provisos and implementation considerations we discover ? often after the provider falls down.
C-BAG Big Data Meetup Chennai Oct.29-2014 Hortonworks and Concurrent on Casca...Hortonworks
Big Data is moving to the next level of maturity and it’s all about the applications. Dhruv Kumar, one of the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, will discuss how Cascading can enable developers to accelerate the time to market for their data applications, from development to production. In this session, Dhruv will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Hadoop and Hortonworks Data Platform. He will show a demo using the Hortonworks Sandbox and Cascading. Recording is at
https://hortonworks.webex.com/hortonworks/lsr.php?RCID=e5582bcbc0516d35fc2dcf0bce86146e
Big Data Management: A Unified Approach to Drive Business ResultsCA Technologies
Traditional data management is changing rapidly, attributed to significant changes brought on by evolving big data environments. IT complexity is on the rise as businesses choose the technologies they need to support their big data strategies and targeted business outcomes. Now, more than ever, we need IT management tools that can accommodate and effectively manage these evolving, complex environments to ensure that enterprises can move forward with their preferred technology and vendor choices.
For more information on Mainframe solutions from CA Technologies, please visit: http://bit.ly/1wbiPkl
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Making Big Data a First Class citizen in the enterpriseTony Baer
Big Data emerged with Internet companies as special projects managed by elite practitioners to solve unique problems. This approach will not be sustainable for enterprises. This presentation describes how big Data projects must become part of the fabric of your enterprise if they are to succeed.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
These slides from EMA VP of Research, Shawn Rogers, and Actian VP of Solutions & Product Marketing, John Santaferraro will help you:
Learn how your peers are using Big Data for success to create transformational value
Discover how diverse data and platform ecosystems create opportunity and complexity
Examine the key differences between early Big Data projects and Big Data 2.0 projects
Explore where Big Data is heading in the future and how innovative companies will enable execution
Identify the gaps and challenges to success as well as the drivers for change and opportunity.
Trasformare il business in modo non convenzionale o tradizionale con i Business Analytics. Oggi il software ed il paradigma dei Big Data permettono non solo di migliorare l’efficienza dei processi, la produttività e ridurre i costi ma possono realizzare nuovi ricavi. Ecco casi di aziende che dalle informazioni hanno creato nuove fonti di revenue o hanno dato un nuovo impulso al loro modello di business.
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Topics covered:
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UI automation Sample
Desktop automation flow
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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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.
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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
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3. Optimization of testing processes
4. Demo
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Orchestrator execution result
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SAP heatmap example with demo
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
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And...
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Charlie Greenberg, Host
Intro
My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics
Hadoop has been working its way through the hype cycle,
Early barriers to adoption include availability and cost of Hadoop engineers, technology stability, enterprise support (security, resilience, etc), ecosystem, lack of tooling
Many of these challenges have been addressed (largely thanks to the likes of Cloudera pushing enterprise grade features)
- now on the slope of enlightenment
- starting to deliver on its promises
- leading organizations are fully committing to Hadoop
However, many organizations still struggle to take Hadoop out of that pet science project status, moving from ‘interesting’ to ‘valuable’
But part of the challenge is creating a viable business case, one that clearly articulates a return on the range of investments that are required to adopt a new technology within the organization
This is underpinned by research from the likes of Gartner, one of the real sticking points is linking capability, the art of the possible, back to real business need and advantage within actual business processes.
Big data investments in 2013 continue to rise from 2012, with 64% of organizations investing or planning to invest in big data technology
This presentation will show you a few examples of how some of the customers are working with Aptitude Software are adopting Hadoop for operational business applications
to become truly data-driven enterprises, where there have been clear business cases to support the introduction of Hadoop
An investment bank
A business requirement not normally associated with big data, to understand cost to serve and true customer profitability
When you look at business structure, the broad range of direct and indirect costs, number of customer, etc. you can quickly see how the data challenge builds up
So this brings together data integration, process management, business user control and high volume data processing
Significant investment in data warehouse appliance – many, many racks, many, many millions $
Infrastructure heavily utilised (…overloaded).
But they were challenged with balancing system resources – between end user reporting and analytics, and processing new data coming in.
They wanted to do more …. What-if models, scenario modelling, etc.
They had to weigh up their options - continue to invest heavily in the appliance platform, or think differently
So they looked to Hadoop as a platform for offloading a range of batch processing jobs
The results still loaded into their DW appliance
So these requirements were no longer just IT driven. Business need and demand created a real viable business case for Hadoop
This slide from Cloudera maps the evolution as they see it. Far right being the panacea of big data, where we are bringing together data, analytics and business applications
Challenge on the vision to greater value from enterprise- and industry-specific objectives
Ensure there’s a tested and relevant incremental growth path to advanced analytics
Sustain the journey to scale with an enterprise data hub by letting the savings from operational efficiency projects pay for the downstream information advantage projects
Enable at every step of adoption and deployment with training and professional services aligned to objectives, building a center of excellence that spans the organization
Here is another great example of Hadoop being used for operational business applications:
Spotify who have been very open and public about their use of Hadoop to capture, process and calculate all of the royalties owed. From transactionally recording each track that has been streamed in Hadoop, to marrying up streaming data with contractual data and calculating the royalties owed to record labels, music societies, etc. and reporting accordingly.
As you can see this is clearly not analytics (well there’s a lot of that as well to improve customer experience and service features), but very transactional in nature, resilient – beyond five 9s, accountable - financial statement of record
They tell a great story of their journey, which was not without challenge, but clearly proves that Hadoop is ready for the most demanding operational business applications.
All 690 nodes and 28 PT of it !!
A great story, but one from a (not quite start-up) but very young company. No legacy, no integration, therefore no complexity, no mess, etc. - greenfield !!
The case is not always that easy to make
But how can you make the same business case within your enterprise when you have a complex landscape, and different attitudes towards new technologies, etc….
How do we take this approach and make it workable in a typical enterprise, one with multiple ERP systems, billing systems, CRM systems, a data warehouse or two
You don’t have the benefits of a greenfield, Hadoop is not going to be self contained and in splendid isolation.
The majority of business centric, big data applications are going to require integration to one or more of your existing systems, access to various operational data points that can’t afford to have the latency of load into Hadoop.
They’ll need to plug into existing or modified business processes and interface directly with business users.
But of course they have to take advantage of big data platforms and seamlessly integrate with the likes of Hadoop as they would any other technology.
So let’s take a look at a final example where all of these requirements come together:
Data integration
Real-time access – both to Hadoop and operational systems, such as ERP
Data processing
Analytics
Business user control and management
So let’s imagine a B2C business, one that has the opportunity to dynamically adjust product pricing based on a range of factors. We’re all aware of this with airlines where flight prices are based on day, time, demand and proximity to departure. It’s also done by stealth in retail through store loyalty cards – not dynamic, but with vouchers you are getting an individual price for a product based on a range of factors. But to drive the competitive edge, companies are looking to become more dynamic with their approach, responding in near-real time to a range of factors and conditions. If you’ve noticed, some supermarkets are busy installing digital price tags on their shelves, gearing up for it already.
One company we have been working with sells tickets to concerts and events around the world (essentially a ticket agent). They wanted to dynamically adjust the price of tickets based on a range of factors, including trends, demand, remaining available seats, etc. But done in a way that had an eye on cost of sale and profitability for a given set of tickets.
There is a requirement for
Data integration, ERP, CRM for order history, product info,
Access to broad data sets, ideally already in Hadoop - e.g. customer and product profitability
Pre-processing, e.g. social media to derive trends and demand. E.g. Concert ticket prices fluctuating based on Twitter trends
UI interaction – to define pricing models and to analyse pricing
Real time access, e.g. through services, to request specific prices
Real time access to latest data, e.g. latest customer master record
Down stream integration, e.g. to CRM or ERP
The breadth and volume of data that can be stored enables pricing engines to go way beyond the traditional approaches and start to leverage a wealth of information to price more competitively and profitably
Fortunately Hadoop and its ecosystem is at the point of maturity where this is now a reality
Aptitude Software is proud to be a partner of Cloudera, selected because of their commitment to making Hadoop suitable for the enterprise.
We differentiate by taking big data beyond analytics and embedding across the enterprise, integrated into business applications and in the hands of the business users that will derive the greatest benefit
Our goal is to provide a platform that enables business and IT teams to deploy data centric applications quickly and collaboratively
Where business rules, business process, data and application integration can all be defined graphically without the need to understand the underlying technologies involved.
And finally one that can take advantage of whatever processing horsepower you have at your disposal, in-memory, in-database and of course in-Hadoop.