Transcript of a sponsored discussion on how a triumvirate of big players have teamed to deliver a rapid and efficient analysis capability across disparate data types for the healthcare industry.
Using a Big Data Solution Helps Conservation International Identify and Proac...Dana Gardner
Transcript of a BriefingsDirect podcast on how a conservation group, partnering with HP, is bringing real-time environmental data into the hands of policy decisions-makers.
Rolta AdvizeX Experts on Hastening Time to Value for Big Data Analytics in He...Dana Gardner
Transcript of a sponsored discussion on using the right balance between open source and commercial IT products to create a big data capability for the long-term.
Putting Buyers and Sellers in the Best Light, How Etsy Leverages Big Data for...Dana Gardner
Transcript of a sponsored discussion on how Etsy uses data science to improve their buyers and sellers’ experience as well as theiown corporate destiny.
Using a Big Data Solution Helps Conservation International Identify and Proac...Dana Gardner
Transcript of a BriefingsDirect podcast on how a conservation group, partnering with HP, is bringing real-time environmental data into the hands of policy decisions-makers.
Rolta AdvizeX Experts on Hastening Time to Value for Big Data Analytics in He...Dana Gardner
Transcript of a sponsored discussion on using the right balance between open source and commercial IT products to create a big data capability for the long-term.
Putting Buyers and Sellers in the Best Light, How Etsy Leverages Big Data for...Dana Gardner
Transcript of a sponsored discussion on how Etsy uses data science to improve their buyers and sellers’ experience as well as theiown corporate destiny.
How New York Genome Center Manages the Massive Data Generated from DNA Sequen...Dana Gardner
Transcript of a sponsored discussion on how the drive to better diagnose diseases and develop more effective treatments is aided by swift, cost efficient, and accessible big data analytics infrastructure.
Using Testing as a Service, Globe Testing Helping Startups Make Leap to Cloud...Dana Gardner
Transcript of a Briefings Direct podcast on how Globe Testing is pushing the envelope on Agile development and applications development management using HP tools and platforms.
Intralinks Uses Hybrid Computing to Blaze a Compliance Trail Across the Regul...Dana Gardner
Transcript of a sponsored discussion on how regulations around data sovereignty are forcing enterprises to consider new approaches to data, intellectual property, and cloud collaboration services.
The UNIX Evolution: An Innovative History reaches a 20-Year MilestoneDana Gardner
Transcript of a sponsored discussion on how UNIX has evolved in the 20-year history of UNIX and the role of The Open Group in maintaining and updating the standard.
How Big Data Generates New Insights into What’s Happening in Tropical Ecosyst...Dana Gardner
Transcript of a sponsored discussion on how large-scale monitoring of rainforest, biodiversity and climate has been enabled and accelerated by cutting-edge, big-data capture, retrieval and analysis.
SAP Ariba Chief Strategy Officer on The Digitization of Business and the Futu...Dana Gardner
Transcript of a sponsored discussion on how advancements in business applications and the modern infrastructure that supports them portends new and higher degrees of business innovation.
How HTC Centralizes Storage Management to Gain Visibility, Reduce Costs and I...Dana Gardner
Transcript of a Briefings Direct podcast on why bringing a common management view in to play improves problem resolution and automates resource allocation more fully.
A Tale of Two IT Departments, or How Governance is Essential in the Hybrid Cl...Dana Gardner
Transcript of a Briefings Direct discussion on how two organizations have been improving their application’s performance via total performance monitoring and metrics.
'Extreme Apps’ Approach to Analysis Makes On-Site Retail Experience King AgainDana Gardner
Transcript of a sponsored discussion on how technology providers have teamed as an ecosystem to develop new dynamic and rapid analysis capabilities for the retail industry.
How New Technology Trends Will Disrupt the Very Nature of Business Dana Gardner
Transcript of a sponsored discussion on how major new trends and technology are translating into disruption, and for the innovative business -- opportunity.
Internet of Things Brings On Development Demands That DevOps Manages, Say Exp...Dana Gardner
Transcript of a BriefingsDirect discussion on how continuous processes around development and deployment of applications impact and benefit the Internet of Things trend.
How New York Genome Center Manages the Massive Data Generated from DNA Sequen...Dana Gardner
Transcript of a sponsored discussion on how the drive to better diagnose diseases and develop more effective treatments is aided by swift, cost efficient, and accessible big data analytics infrastructure.
Using Testing as a Service, Globe Testing Helping Startups Make Leap to Cloud...Dana Gardner
Transcript of a Briefings Direct podcast on how Globe Testing is pushing the envelope on Agile development and applications development management using HP tools and platforms.
Intralinks Uses Hybrid Computing to Blaze a Compliance Trail Across the Regul...Dana Gardner
Transcript of a sponsored discussion on how regulations around data sovereignty are forcing enterprises to consider new approaches to data, intellectual property, and cloud collaboration services.
The UNIX Evolution: An Innovative History reaches a 20-Year MilestoneDana Gardner
Transcript of a sponsored discussion on how UNIX has evolved in the 20-year history of UNIX and the role of The Open Group in maintaining and updating the standard.
How Big Data Generates New Insights into What’s Happening in Tropical Ecosyst...Dana Gardner
Transcript of a sponsored discussion on how large-scale monitoring of rainforest, biodiversity and climate has been enabled and accelerated by cutting-edge, big-data capture, retrieval and analysis.
SAP Ariba Chief Strategy Officer on The Digitization of Business and the Futu...Dana Gardner
Transcript of a sponsored discussion on how advancements in business applications and the modern infrastructure that supports them portends new and higher degrees of business innovation.
How HTC Centralizes Storage Management to Gain Visibility, Reduce Costs and I...Dana Gardner
Transcript of a Briefings Direct podcast on why bringing a common management view in to play improves problem resolution and automates resource allocation more fully.
A Tale of Two IT Departments, or How Governance is Essential in the Hybrid Cl...Dana Gardner
Transcript of a Briefings Direct discussion on how two organizations have been improving their application’s performance via total performance monitoring and metrics.
'Extreme Apps’ Approach to Analysis Makes On-Site Retail Experience King AgainDana Gardner
Transcript of a sponsored discussion on how technology providers have teamed as an ecosystem to develop new dynamic and rapid analysis capabilities for the retail industry.
How New Technology Trends Will Disrupt the Very Nature of Business Dana Gardner
Transcript of a sponsored discussion on how major new trends and technology are translating into disruption, and for the innovative business -- opportunity.
Internet of Things Brings On Development Demands That DevOps Manages, Say Exp...Dana Gardner
Transcript of a BriefingsDirect discussion on how continuous processes around development and deployment of applications impact and benefit the Internet of Things trend.
Infrastructure as Destiny — How Purdue Builds a Support Fabric for Big Data E...Dana Gardner
Transcript of a discussion on how Purdue University provides IT as a service, using big data and the IoT technologies, to support such worthy goals as student retention analysis.
How Allegiant Air Solved Their PCI Problem and Got a Whole Lot Better Securit...Dana Gardner
Transcript of a sponsored discussion on how security technology can lead to a better posture maturity and then ultimately to cultural transformation and many added business benefits.
Democratizing Advanced Analytics Propels Instant Analysis Results to the Ubiq...Dana Gardner
Transcript of a discussion on how HTI Labs in London provides the means and governance with their Schematiq tool to bring critical data to the interface that users want most.
Unum Group Architect Charts a DevOps Course to a Hybrid Cloud FutureDana Gardner
Transcript of a BriefingsDirect podcast on how Unum Group has benefitted from a better process around application development and deployment using HP tools.
How Big Data Deep Analysis and Agile SQL Querying Give 2016 Campaigners an Ed...Dana Gardner
Transcript of a discussion on how data analysis services startup BlueLabs in Washington, helps presidential campaigns better know and engage with potential voters.
Big Data Pushes Enterprises into Data-Driven Mode, Makes Demands for More App...Dana Gardner
Transcript of a BriefingsDirect podcast on how creating big-data capabilities are new top business imperatives in dealing with a flood of data from disparate sources.
HP Simplifies Foundation Care Services to Deliver Just-in-Time Pan-IT Support Dana Gardner
Transcript of a sponsored podcast discussion on how HP has allowed CIOs to make easier choices about which support plan fits their need best at the most effective cost.
Enterprise Mobile and Client Management Demands a Rethinking of Work, Play an...Dana Gardner
Transcript of a Briefings Direct podcast on the new landscape sculpted by the increasing use of mobile and BYOD and how Dell is helping companies navigate that terrain.
For the supply chain leader, Big Data is a new concept. It is not one that is currently well understood. It will be overhyped and overpromised before the concepts reach mainstream adoption. However, it is here to stay. The goal of this report is to better educate and prepare the supply chain leader for this change. In this report, we define the concepts and share insights to help leaders better understand how Big Data concepts can help solve problems in today’s supply chain.
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...Dana Gardner
Transcript of a BriefingsDirect podcast on how The Open Group is working to stay ahead of challenges organization face with an increase in data volume and sources.
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...Dana Gardner
A discussion on how intelligent data center designs and components are delivering what amounts to data centers-as-a-service to SMBs, enterprises, and public sector agencies.
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Dana Gardner
A discussion on how artificial intelligence and advanced analytics solutions coalesce into top competitive differentiators that prove indispensable for digital business transformation.
When writing this new paper, my main objective was to provide a clear understanding of where the term "Big Data" comes from, why is that term so popular now, what does it really mean and what can be its implication for businesses. Because the full power of Big Data can be revealed only by Analytics, i provided a description of a widely recognized and used analytical techniques to help you figure out how used in conjunction with Big Data, analytics can boost Business Performance.
i expected that by the end of this paper :
- you will smile the next time you read or hear at the terms big data, hadoop, or analytics :)
- you will understand the technologies that are behind the scene when one talks about "Big Data"
- you will know how to "make sense" of Big Data using Analytics
- you will get a basic idea of data mining techniques used in Business in general and in Big Data in particular
- you will be able to get every news about Big Data
HP's ALM11 Brings Together Larger Initiatives That Are Transforming the IndustryDana Gardner
Transcript of a sponsored BriefingsDirect podcast, part of a series on application lifecycle management and HP ALM 11 from the HP Software Universe 2010 conference in Barcelona, Spain.
1Running head BIG DATA6BIG DATAMIT 681 MSIT.docxaulasnilda
1
Running head: BIG DATA
6
BIG DATA
MIT 681 : MSIT capstone
Student name: sunil patel
Student number: 15T1FG68
Professor name: Mark o’connell
Introduction
With the invention of new technology data management has been viewed as one aspect where technology should be implemented. Despite the existence of traditional approaches and methodologies in data storage and management the way data is handled differs from one organization to the other. Big data analysis and storage remains a challenge to many, however much has been achieved and individuals are reaping from the changes which come with new technology techniques such as cloud computing and many other data management technologies (Curry 2016). With individuals having data sources such as the Amazon websites and the yahoo among others proper data storage and accessing tools are very important. It is very important to appreciate the fact that for one to attain high integrity levels in big data management and analysis there are several factors to put into consideration.
These factors include but are not limited to: Flexibility The method of analyzing and storing individual’s data should be able to meet the ever changing technological changes and demands. Maintainability The mechanism should be maintainable by the users Accountability and reliability Users should be able to trust the chosen system and rely on it without fear of losing their data and any other critical information.
The term big data has brought a lot of influences in the data storage, while it is used to refer to a collection of several data from different sources majority are yet to accept the fact that this has been there for ancients with traditional methods applied to access and store the relevant data. Today due to raise in technology security threats have diversified something which calls for users to be alert and practice ethical secure methods when using big data (Gandomi, & Haider 2015). Likewise users need to put into consideration the necessity of the data and ensure they observe the set policies so as to ensure that they do not go against the laid procedures and regulations while using the data. Additionally there are several big data approaches all of which have certain capabilities in managing data.
To be able to succeed in big data approach individuals ought to put into consideration the security concerns and the responses each model offer. Data access, management and storage is a very critical aspect therefore necessary frameworks should be considered before anything. It is very important to establish the programming languages used in the data storage systems; the language extensions and query language since this are key determinants of how successful the chosen approach will be. A clear programming language which is able to accommodate the technological demands remains crucial; the extension languages should also be reliable and manageable. Any storage approach which is not flexible cannot adapt ch ...
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
How Analytics Has Changed in the Last 10 Years (and How It’s Staye.docxpooleavelina
How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)
· Thomas H. Davenport
June 22, 2017
· Summary
· Save
· Share
· Comment
· Print
· 8.95Buy Copies
Recommended
·
Blockchain: Tools for Preparing Your Team for the Future
Book
49.95 View Details
·
Clean Edge Razor: Splitting Hairs in Product Positioning
HBS Brief Case
8.95 View Details
·
Deutsche Allgemeinversicherung
Photo by Ferdinand Stöhr
Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. One major reason for the update is that analytical technology has changed dramatically over the last decade; the sections we wrote on those topics have become woefully out of date. So revising our book offered us a chance to take stock of 10 years of change in analytics.
Of course, not everything is different. Some technologies from a decade ago are still in broad use, and I’ll describe them here too. There has been even more stability in analytical leadership, change management, and culture, and in many cases those remain the toughest problems to address. But we’re here to talk about technology. Here’s a brief summary of what’s changed in the past decade.
The last decade, of course, was the era of big data. New data sources such as online clickstreams required a variety of new hardware offerings on premise and in the cloud, primarily involving distributed computing — spreading analytical calculations across multiple commodity servers — or specialized data appliances. Such machines often analyze data “in memory,” which can dramatically accelerate times-to-answer. Cloud-based analytics made it possible for organizations to acquire massive amounts of computing power for short periods at low cost. Even small businesses could get in on the act, and big companies began using these tools not just for big data but also for traditional small, structured data.
Insight Center
· Putting Data to Work
Analytics are critical to companies’ performance.
Along with the hardware advances, the need to store and process big data in new ways led to a whole constellation of open source software, such as Hadoop and scripting languages. Hadoop is used to store and do basic processing on big data, and it’s typically more than an order of magnitude cheaper than a data warehouse for similar volumes of data. Today many organizations are employing Hadoop-based data lakes to store different types of data in their original formats until they need to be structured and analyzed.
Since much of big data is relatively unstructured, data scientists created ways to make it structured and ready for statistical analysis, with new (and old) scripting languages like Pig, Hive, and Python. More-specialized open source tools, such as Spark for streaming data and R for statistics, have also gained substantial popularity. The process of acquiring and using open source software is a major change in itself for established busines ...
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Need for Fast Analytics Across All Kinds of Healthcare Data Spurs Converged Solutions Partnership Model
1. Need for Fast Analytics Across All Kinds of Healthcare Data
Spurs Converged Solutions Partnership Model
Transcript of a sponsored discussion on how a triumvirate of big players have teamed to deliver
a rapid and efficient analysis capability across disparate data types for the healthcare industry.
Listen to the podcast. Find it on iTunes. Get the mobile app. Sponsor: Hewlett
Packard Enterprise.
Dana Gardner: Hello, and welcome to the next edition of the HPE Discover Podcast Series.
I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator for this
ongoing discussion on IT innovation and how it’s making an impact on people’s
lives.
Our next big-data discussion explores how triumvirate of big-data players have
teamed to deliver a rapid and efficient analysis capability across disparate data
types for the healthcare industry. We will learn how the drive for better patient
outcomes amid economic efficiency imperatives has created a demand for a new
type of big-data implementation model.
This model with the support from Hewlett Packard Enterprise, Microsoft, and Sogeti leverages a
nimble big-data platform, converged solutions, hybrid cloud, and deep vertical industry
expertise. The result is innovative and game-changing insights across healthcare ecosystems of
providers, patients, and payers.
The ramp-up to these novel insights is rapid and the cost-per-
analysis value is very aggressive. Here to share the story on how
the Data-Driven Decisions for Healthcare initiative arose and why
it portends more similar vertical industry focused solutions, we're
joined here today by Bob LeRoy, Vice President in the Global Microsoft
Practice and Manager of the HP Alliance at Sogeti USA. He's based in Cincinnati. Welcome Bob.
Bob LeRoy: Hi, Dana. Thanks for inviting me. Glad to be here.
Converged Systems +
Analytics = Transformation
Learn More from Sogetilabs
Gardner: We're glad you came. It’s a very interesting story. Let’s set the stage, Bob. Why the
drive for a new model for big data analytics in healthcare? What are some of the drivers, some of
the trends, that have made this necessary now?
Page 1
Gardner
2. LeRoy: Everybody is probably very familiar with the Affordable Care Act (ACA), also known
as ObamaCare. They've put a lot of changes in place for the healthcare industry, and primarily it's
around cost containment. Beyond that, the industry itself understands that they
need to improve the quality of care that they're delivering to patients. That's
around outcomes, how can we affect the care and the wellness of individuals.
So it’s around cost and the quality of the care, but it’s also about how the industry
itself is changing, both from how providers are now doing more with payments
and how classic payers are doing more to actually provide care themselves. There
is this blur between the lines of payer and provider.
Some of these people are actually becoming what we call accountable care organizations
(ACOs). We see a new one of these ACOs come up each week, where they are both payer and
provider.
Gardner: That’s very interesting. Not only do we have a dynamic economic landscape, but the
ability to identify what works and what doesn't work can really be important, especially when
dealing with multiple players and multiple data types. This is really not just knowing your own
data; this is knowing data across organizational boundaries.
LeRoy: Exactly. And there are a lot of different data models that exists. When you look at things
like big data and the volume of data that exist out in the field, you can put that data to use to
understand who are your critical patients, and how that can affect your operations?
Gardner: Why do we look to a triangulated solution between players like Hewlett Packard
Enterprise, Microsoft, and Sogeti? What is it about the problem that you're trying to solve that
has led it to a partnership type of solution?
Long-term partner
LeRoy: Sogeti has been a long-term partner with Microsoft. The tools that Microsoft provides
are one of the strengths of Sogeti. We've been working with HPE now for almost two years, and
it's a great triangulation between the three companies. Microsoft provides the software, HPE
provides the hardware, and Sogeti provides the services to deliver innovative solutions to
customers and do it in a rapid way. What you're getting is best in class in all three of those
categories -- the software, the hardware, and the services.
Gardner: There's another angle to this too and it’s about the cloud delivery model. How does
that factor into this? When we talked about hardware, it sounds like there's an on-premises aspect
to it, but how does the cloud play a role?
LeRoy: Everybody wants to hear about the cloud, and certainly it’s important in this space too
because of the type of data that we're collecting. You could consider social data or data from
third party software-as-a-service (SaaS) applications, and that data can exist everywhere.
Page 2
LeRoy
3. You have your on-premise data and you have your off-premise data. The tool that we're using, in
this case from HP and Microsoft, really lend themselves well to developing a converged
environment to deliver best in class across those different environments. They're secured,
delivered quickly, and they provide the information and the insights that their hospitals and
insurance companies really need.
Gardner: So we have a converged solution set from HPE. We have various clouds that we can
leverage. We have great software from Microsoft. Tell us a little about Sogeti and what you're
bringing to the table? You're a wholly-owned subsidiary of Capgemini Group. What is it that
you've been doing in healthcare that helps solidify this solution and the rapid analysis
requirements?
LeRoy: This is one of the things that Sogeti bring into the table. Sogeti is part of the Capgemini
Group. Capgemini is a global organization with 150,000 employees, and Sogeti is one of the five
strategic business units of the group. Sogeti’s strength is that we're really focused on the
technology and the implementations of technology and we are focused on several different
verticals, healthcare being one of them.
We have experts on the technology stacks, but we also have experts in healthcare itself. We have
people who we've pulled from the healthcare industry. We taught them what we do in the IT
world, so they can help us focus best practices and technologies to solve real healthcare
organizational problems, so that we can get towards the quality of care and the cost reduction
that the ACA is really looking for. That’s a real strength that's going to add significant values to
healthcare organizations.
Gardner: It’s very important to see that one size does not fit all when it comes to the systems.
Having verticalization is required, and you're embarking on a retail equivalent to this model, and
manufacturing in other sectors might come along as well.
Let's look at why this approach to this problem is so innovative. What have been some of the
problems that have held back the ability of large and even mid-sized organizations in the
healthcare vertical industry from getting these insights? What are some of the hurdles that
they've had to overcome and that perhaps beg for a new and different model and a new
approach?
Complexity of data
LeRoy: There are a couple of factors. For sure, it’s the complexity of the data itself. The data is
distributed over a wide variety of systems. So it’s hard to get a full picture of a patient or a
certain care program, because the systems are spread out all over the place. When the systems in
so many different ways end up with you, you get part of the data. You don’t get the full picture.
We call that poor data quality, and that y makes it hard for somebody who's doing analysis to
really understand and gain insight from their data.
Page 3
4. Of course, there's also the existing structure that’s in place within organizations. They've been
around for a long time. People are sometimes resistant to change. Take all of those things
together and you end up with a slow response time to delivering the data that they're looking for.
Access to the data becomes very complex or difficult for an end-user or a business analyst. The
cost of changing those structures can be pretty expensive. If you look at all those things together,
it really slows down an organization’s ability to understand the data that they've got to gain
insights about their business.
Gardner: Just a few years ago, when we used to refer to data warehouses, it was a fairly large
undertaking. It would take months to put these into place, required a data center or some sort of a
leasing arrangement, and of course a significant amount of upfront costs. How has this new
model approached those costs and length of time or ramp-up time issues?
Converged Systems Help Transform
Healthcare and Financial Services
Learn More from Sogetilabs
LeRoy: Microsoft’s model that they have put in place to support their Analytics Platform System
allows them to license their tools at a lower price. The other thing that's really made a difference
is the way HPE has put together their ConvergedSystem that allows us to tie these hybrid
environments together to aggregate the data in a very simple solution that provides a lot of
performance.
If I have to look at unstructured data and structured data, I often need two different systems. HP
is providing a box that’s going to allow me to put both into a single environment. So that’s going
to reduce my cost a lot.
They have also delivered it in an appliance way, so I don't need to spend a lot of time buying,
provisioning, or configuring servers, setting up software, and all those things, I can just order this
ConvergedSystem from HPE, put it in my data center, and I am almost ready to go. That’s the
second thing that really helps save a lot of time.
The third one is that at Sogeti Services, we have some intellectual property (IP) to help the data
integration from these different systems and the aggregation of the data. We've put together some
software and some accelerators to help make that integration go faster.
The last piece of that is a data model that structures all this data into a single view that makes it
easier for the business people to analyze and understand what they have. Usually, it would take
you literally years to come up with these data models. Sogeti has put all the time into it, created
these models, and made it something that we can deliver to a customer much faster, because
we've already done it. All we have to do is install it in your environment.
It's those three things together -- the software pricing from Microsoft, the appliance model from
HP, and the IP and the accelerators that Sogeti has.
Page 4
5. Consumer's view
Gardner: Bob, let’s look at this now through the lens of that consumer, the user. It wasn’t that
long ago where most of the people doing analytics were perhaps wearing white lab coats, very
accomplished in their particular query languages and technologies, but part of the thinking now
for big data is to get it into the hands of more people.
What is it that your model, this triumvirate of organizations coming together for a solution
approach, does in terms of making this data more available? What are the outputs, who can query
it, and how has that had an impact in the marketplace?
LeRoy: We've been trying to get this to the end users for 30 years. I've been trying to get reports
in the hands of users and let them do their own analysis, and every time I get to a point where I
think this is the answer, the users are going to be able to do their own reports, that frees up guys
in the IT world like me to go off and do other things, it doesn’t always work.
This time, though, it's really interesting. I think we've got it. We allow the users access directly to
the data, using the tools that they already know. So I'm not going to create and introduce a new
tool to them. We're using tools that are very similar to Excel, that point to a data source that’s
well organized for them already and it’s the data that they are already familiar with.
So if they're using Microsoft Excel-like tools, they can do Power Pivots and pivot tables that
they've already being doing, but just in an offline manner. Now, I can give them direct access to
real-time data.
Instead of waiting until noon to get reports out, they can go and look online and get the data
much sooner, so we can accelerate their access time to it, but deliver it in a format that they're
comfortable with. That makes it easier for them to do the analysis and gain their insights without
the IT people having to hold their hands.
Gardner: Perhaps we have some examples that we can look to that would illustrate some of this.
You mentioned social media, the cloud-based content or data. How has that come to bear on
some of these ways that your users are delivering value in terms of better healthcare analytics?
LeRoy: The best example I have is the ability to bring in data that’s not in a structured format.
We often think of external data, but sometimes it’s internal data too -- maybe x-rays or people
doing queries on the Internet. I can take all of that structured data and correlate it to my internal
electronic medical records or my health information systems that I have on-premise.
If I'm looking at Google searches, and people are looking for keywords such as "stress," "heart
attacks," "cardiac care," or something like that, those keywords, I can map the times that people
are looking at those kinds of queries by certain regions. I can tie that back to my systems and ask
Page 5
6. what the behavior or the traffic patterns look like within my facility at those same times. You can
target certain areas to maybe change my staffing model, if there is a big jump in searches, do a
campaign to ask people to come in and do a screening, or encourage people to get to their
primary-care physicians.
There are a lot of things we can do with the data by looking just at the patterns. It will help us
narrow down the areas of our coverage that we need to work with, what geographic areas I need
to work on, and how I manage the operations of the organization, just by looking at the different
types of data that we have and tying them together. This is something that we couldn't do before,
and it’s very exciting to see that we're able to gain such insights and be able to take action against
those insights.
Applying data science
Gardner: I can see now why you're calling it the Data Driven Decisions for Healthcare,
because you're really applying data science to areas that would probably never have been
considered for it before. People might use intuition or anecdote or deliver evidence that was
perhaps not all that accurate. Maybe you could just illustrate a little bit more ways in which
you're using data science and very powerful systems to gather insights into areas that we just
never thought to apply such high-powered tools to before.
LeRoy: Let’s go back to the beginning when we talked about how we change the quality of care
that we are providing. Today, doctors collect diagnosis codes for just about every procedure that
we have done. We don’t really look and see how many times those same procedures are repeated
or which doctors are performing which procedures. Let’s look at the patients too and which
patients are getting those procedures. So we can tie those diagnosis codes in a lot of different
ways.
The one that I think I probably would like the best is that I want to know which doctors perform
those procedures only once per patient and have the best results come from the treatments that
that doctor performs. Now, if I'm from a hospital, I know which doctors perform which
procedures the best and I can direct the patients that need those procedures to those doctors that
provide the best care.
And the reverse of that might be that if the doctor doesn’t perform that procedure well, let’s
avoid sending him those kinds of patients. Now, my quality of care goes up, the patient has a
better experience, and we're going to do it a lower cost because we're only doing it once.
Gardner: All right. Let’s dive into this solution a bit, because I'm intrigued by the fact that this
model of bringing converged-infrastructure provider, a software provider and expertise in the
field that crosses the chasm between a technology capability and a vertical industry knowledge-
base works. So let’s dig in a little bit. The Microsoft Analytics Platform System (APS), tell us a
little bit about that -- what it includes and why it’s powerful and applicable in this situation?
Page 6
7. LeRoy: The APS is a solution that combines unstructured data and structured data into a single
environment and it allows the IT guys to run classic SQL queries against both.
On one side, we have what used to be called parallel data warehouse. It’s a really fast version of
SQL Server. It's massively parallel processing and it can run queries super fast. That’s the
important part. I have structured data that I can get to very quickly.
The other half of it is HDInsight, which is Microsoft's open source implementation of Hadoop.
Hadoop is all unstructured data. In between these two things there is PolyBase. So I can query
the two together and I can join structured and unstructured data together.
Then, since Microsoft created this APS specification, HP then implemented that in a box that
they call a ConvergedSystem 300. Sogeti has used that to build our IP against. We can consume
data from all these different areas, put it into the APS, and deliver that data to an end user
through a simple interface like Excel or Power BI or some other visualization tool.
Significant scale
Gardner: Just to be clear for our audience, sometimes people hear appliance and they don't
think necessarily big scale, but the HP ConvergedSystem 300 for the Microsoft APS is quite
significant with server storage, networking technologies, and large amounts of data, up to 6
petabytes. So we're talking about some fairly significant amounts of data here, not small fry.
Converged Systems +
Analytics = Transformation
Learn More from Sogetilabs
LeRoy: And they put everything into that one rack. We think of appliance as something like a
toaster that we plug in. That’s pretty close to where they are, not exactly, but you drop this big
rack into your data center, give it an IP address, give it some power, and now you can start to
take existing data and put it in there. It runs extremely well because they've incorporated the
networking and the computing platforms and the storage all within a single environment, which
is really effective.
Gardner: Of course, one of the big initiatives at Microsoft has been cloud with Azure. Is there a
way in which the HPE Converged Infrastructure in a data center can be used in conjunction with
a cloud service like Azure or other cloud, public cloud, infrastructure-as-a-service (IaaS) cloud or
even data warehousing cloud services that accelerates the ability to deliver this fast and/or makes
it more inclusive or more types of data for more places? How does the public cloud fit into this?
LeRoy: You can distribute the solution across that space. In fact, we take advantage of the cloud
delivery as a model. We use a tool called Power BI from Microsoft that allows you to do
visualizations.
Page 7
8. The system from HP is a hybrid solution. So we can distribute it. Some of it can be in the cloud
and some of it can be on-prem. It really depends on what your needs are and how your different
systems are already configured. It’s entirely flexible. We can put all of it on-prem, in a single
rack or a single appliance or we can distribute it out to the cloud.
One of the great things about the solution that Microsoft and HP put together is it’s very much a
converged system that allows us to bridge on-prem and the cloud together.
Gardner: And of course, Bob, those end users that are doing those queries, that are getting
insights, they probably don’t care where it's coming from as long as they can access it, it works
quickly, and the costs are manageable.
LeRoy: Exactly.
Gardner: We're getting close to the end of our time. Tell me a little bit about where we take this
model next -- clearly healthcare, big demand, huge opportunity to improve productivity through
insights, improve outcomes, while also cutting costs.
You have also got a retail approach in that market, in that vertical. How does that work? Is that
already available? Tell us a little bit about why the retail was the next one you went to and where
it might go next in terms of industries?
Four major verticals
LeRoy: Sogeti is focused on four major verticals: healthcare, retail, manufacturing, and life
sciences. So we are kind of going across where we have expertise.
The healthcare one has been out now for nine months or so. We see retailers in another place.
There are point solutions where people have solved part of this equation, but they haven’t really
dug deep in understanding how to get it from end to end, which is something that Sogeti has
done now. From the point a person walks into a store, we would be alerted through all of these
analytics that we have. We would be alerted that the person arrived and take action against that.
We do what we can to increase our traffic and our sales with individuals and then aggregate all of
that data. You're looking at things like customers, inventory, or sales across an organization. That
end-to-end piece is something that I think is very unique within the retail space.
After that, we're going to go to manufacturing. Everybody likes to talk about the Internet of
Things (IoT) today. We're looking at some very specific use cases on how we can impact
manufacturing so IoT can help us predict failures right on a manufacturing line. Or if we have
maybe heavy equipment out on a job site, in a mine, or something like that, we could better
predict when equipment needs to be serviced, so we can maximize the manufacturing process
time.
Page 8
9. Gardner: Any last thoughts in terms of how people who are interested in this can acquire it? Is
this something that is being sold jointly through these three organizations, through Sogeti
directly? How is this going to market in terms of how healthcare organizations can either both
learn more and/or even experiment with it?
LeRoy: The best way to do it is search for us online. It's mostly being driven by Sogeti and HP.
Most of the healthcare providers that are also heavy HP users could be aware of it already, and
talking to an HP rep or to a Sogeti rep is certainly the easiest path to move forward on.
We have a number of videos that are out on YouTube. If you search for Sogeti Labs and Data
Driven Decisions, you will certainly find my name and a short video that shows it. And of course
sales reps and customers are welcome to contact me or anybody from Sogeti or HP.
Converged Systems Help Transform
Healthcare and Financial Services
Learn More from Sogetilabs
Gardner: Once again, the official name of this initiative is the Data Driven Decisions for
Healthcare.
I'm afraid we will have to leave it there. We've been discussing how a triumvirate of big players
-- Hewlett Packard Enterprise, Microsoft, and Sogeti -- have teamed to deliver a rapid and
efficient analysis capability across disparate data types for the healthcare industry.
And we've learned how this new type of big data implementation model quickly and affordably
delivers innovative and game changing insights across ecosystems of providers, patients and
payers in healthcare, and it looks like it’s going to soon be doing interesting productivity benefits
for retail manufacturing and life sciences as well.
So join me please in thanking our guest. We've been here with Bob LeRoy, Vice President in the
Global Microsoft Practice and Manager of the HP Alliance at Sogeti USA. He is based in
Cincinnati. Thank you, Bob.
LeRoy: Thanks, Dana.
Gardner: And I'd also like to thank our audience as well for joining us for this big data
innovation discussion.
I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your host for this ongoing series of
Hewlett Packard Enterprise sponsored discussions. Thanks again for listening, and do come back
next time.
Listen to the podcast. Find it on iTunes. Get the mobile app. Sponsor: Hewlett
Packard Enterprise.
Page 9
10. Transcript of a sponsored discussion on how a triumvirate of big players have teamed to deliver
a rapid and efficient analysis capability across disparate data types for the healthcare industry.
Copyright Interarbor Solutions, LLC, 2005-2015. All rights reserved.
You may also be interested in:
• Nottingham Trent University Elevates Big Data's role to Improving Student Retention in
Higher Education
• Big data enables top user experiences and extreme personalization for Intuit TurboTax
• Feedback loops: The confluence of DevOps and big data
• Spirent leverages big data to keep user experience quality a winning factor for telcos
• Powerful reporting from YP's data warehouse helps SMBs deliver the best ad campaigns
• IoT brings on development demands that DevOps manages best, say experts
• Big data generates new insights into what’s happening in the world's tropical ecosystems
• DevOps and security, a match made in heaven
• How Sprint employs orchestration and automation to bring IT into DevOps readiness
• How fast analytics changes the game and expands the market for big data value
• How HTC centralizes storage management to gain visibility and IT disaster avoidance
• Big data, risk, and predictive analysis drive use of cloud-based ITSM, says panel
• Rolta AdvizeX experts on hastening big data analytics in healthcare and retail
• The future of business intelligence as a service with GoodData and HP Vertica
Page 10