Techniques for identifying business value and aligning stakeholders
You’ve identified a real business need for a big data project -- now what? How do you articulate and justify this need, in order to fund the initiative?
When pitching a big data strategy to company stakeholders, you need to know your audience -- understanding each role, and its accompanying needs and concerns, is critical. For instance, business analysts might want a SQL-based solution that integrates with current BI and reporting tools; business owners may want to uncover new revenue streams or increased operational efficiency; and data scientists may look for tools to creatively explore large volumes of data, quickly.
Having a successful big data strategy can deliver massive benefits to the business – new products and services, reduced customer churn, and cost reductions, to name a few – but first you must know your audience’s interests, and connect those interests to business imperatives. Thinking in terms of revenues, costs, and competitiveness can help you communicate your vision to technologists and business stakeholders alike, and explain what’s required to make the project succeed.
Join Larry Lancaster, Founder of Zebrium, for a blueprint on how to get buy-in for your big data project. In this webcast, you'll learn how to successfully:
• Envision the business value of your big data project
• Select the right use-case to relay your message
• Identify how the business can monetize new analytics capabilities
• Communicate the benefits of your data strategy, to different audiences
RecordedSep 21 201653 mins
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Doug Henschen, VP and Principal Analyst, Constellation Research, Inc and Jeff Healey, Dir of Product Marketing, HPE Vertica
Artificial intelligence (A.I.) is the talk of the tech industry this year, but nine times out of ten what's really under the hood is machine learning. What's behind this new generation of “predictive” and "smart" analytics and why are we hearing about it now?
Join us for this webcast as we explore the emergence (or reemergence) of machine learning and "A.I.," and how data-management practices are evolving to keep up with the new speed and scale of business through continuous, streaming applications and real-time predictive capabilities.
What You Will Learn:
• How analytics are evolving from descriptive analytics to predictive and prescriptive analytics.
• Why data, compute capacity, analytic prowess and development time are crucial to machine learning success.
• Why micro-services and APIs will be crucial enablers of embedded analytics and next-generation smart apps.
• How leading firms are overcoming data science talent shortages through adoption of new technology and organizational structures.
Marco Zambardi, Product Manager Contactlab; Andrea Gioia, Partner, Quantyca; Carlo Arioli, HPE, EMEA Big Data Marketing
Contactlab provides products and services that enable brands to get the most out of their customer engagement strategies. Effective digital communications must be both scalable and personalized with the ability to reach potential and existing customers anywhere, at any time, through multiple channels.
Contactplan enables marketers to precisely define the best audience for their marketing campaigns exploiting, thanks to HPE Vertica, all demographic and behavioral data in real time and then applying tailored delivery plans to them, all with no technical know-how requirements for the campaign managers.
The webinar will discuss how brands can improve campaign effectiveness with behavioral data, the benefits of real-time analytics for brand managers and the lessons learnt by Quantyca, the solution integrator partner of Contaclab, on key design principles and most performing architectures for customer analytics leveraging the speed and advanced “in-database” analytics of HPE Vertica.
Jones Lukose, Information Management Officer, International Criminal Court
Microsoft® SharePoint sites have become a dumping ground for enterprise and customer information. This practice, compounded over time, compromises your investment in SharePoint, minimizes productivity and can even result in the risk of failing to comply with internal and external regulations (GDPR). Join us to learn how HPE
ControlPoint can help you clean up your SharePoint sites and regain control of your data.
Emon Haque, Anritsu, Product Manager - Analytics & Big Data and Carlo Arioli, EMEA Big Data Marketing Manager, HPE
In the last few years, telecommunications networks have experienced exponential increase in data volume, while the expected response time for analysis on those data volumes have experienced a similarly exponential decrease. Within half a decade or so, telecommunication networks have gone from Gigabytes of data and sub-minute response time to Exabytes of data and sub-second response time! At Anritsu, with the help of HPE Vertica, real time, predictive, multi-dimensional analytics solutions have been designed which are ensuring customer experience and service assurance for over 1 billion telecommunication subscribers world-wide. Join us to find out more about this innovative solution from Anritsu which utilizes the field proven, extensive analytics capabilities of HPE Vertica.
Gagan Bhatia, HPE Product Marketing Manager and Ali ElKortobi, Director, IM&G Product Management
Attend this webinar to learn how HPE’s application retirement solution can help reduce the overall recurring cost of managing legacy PeopleSoft instances by up to 40%.
The costs of licensing, operational, and skilled resources in maintaining legacy PeopleSoft environments can reach hundreds of thousands of dollars each year. In addition to these costs, organizations expose themselves to various security and privacy risks associated with the improper management of employee data stored in these inactive systems.
With HPE’s application retirement and archiving solution, you can retire multiple PeopleSoft instances while retaining seamless access to the historical data for compliance and reporting. Built on HPE’s market leading Structured Data Manager platform that relocates inactive data from expensive tier 1 production systems and legacy databases while preserving data integrity and access, you can be confident that the solution is scalable, flexible and secure.
Join us to hear more about how HPE Structured Data Manager for PeopleSoft Enterprise can help you simplify the retirement of legacy PeopleSoft instances and reduce the cost, complexity and risks associated with managing legacy applications and data.
You can’t talk about big data today without hearing about Hadoop. For many people, Hadoop is synonymous with big data, but it’s not necessarily the best tool for every use case and every project. Before committing to it, businesses need to ignore the hype, look at their needs, and determine if and where Hadoop fits into their big data initiatives.
Join Bill Theisinger, vice president of engineering for platform data services at YP(sm), formerly known as YellowPages.com, to hear how his company is maximizing the value they get from Hadoop by supplementing it with HPE Vertica, an analytical database.
In this webcast, you’ll learn:
• The benefits and drawbacks of using Hadoop
• Where Hadoop can fit into big data initiatives
• How to supplement Hadoop with an analytical database
Nikolay Golov, Data Warehouse Architect, Avito and Carlo Arioli, Big Data Marketing Manager, HPE
Avito, based in Moscow, is Russia’s fastest growing e-commerce site and portal. It uses Big Data technology to monitor and improve the placement of advertisements, and to better understand how their users are adapting to online business.
In this webinar, Nikolay Golov, Data Warehouse Architect at Avito, who has over 10 years’ experience for banks, retail and e-commerce, will share the lessons they have learned when implementing and expanding their HPE Vertica-based analytics infrastructure over the past 4 years.
This will include identifying the risks and demonstrating how those risks can be efficiently and effectively overcome with the right technology stack: HPE Vertica, which processes data from dozens of heterogeneous data sources and monetizes it through Machine Learning.
Stefan Sommer, Director Enterprise Integrations, Adform and Carlo Arioli, Big Data Marketing Manager, HPE
Over 10.000 large advertisers rely daily on Adform global advertising infrastructure to create millions of personalized experiences for top brands across websites, mobiles and digital media. The supporting platform handles over a million requests per second, each of which requires complex statistics, modeling and decisions to be calculated on a large number of datasets including each user’s digital journey touchpoints, CRM data and 3rd party demographic profiles. Vertica Analytic Database is making this possible using the best of open-source innovation from Hadoop, Kafka and Spark with the simplicity of SQL.
Stefan Sommer is responsible for Data at Adform and will deep dive into how it all works, performs and scales on more than 1000 servers distributed globally with emphasis on Vertica which has been at the core for several years.
• Discover how Adform analyzes users’ insights and delivers an advanced web experience in real time
• Learn how the Vertica Analytical Database simplifies scoring of advanced machine learning models for CRM applications in nano seconds from data stored on Hadoop
• Get answers to your own questions during the live Q&A
Mike Gualtieri, VP and Principal Analyst, Forrester and Steve Sarsfield, product evangelist, HPE Vertica
An explosion of Big Data is rapidly changing the IT landscape. While Big Data generates vast opportunities for new sources of revenue, customer insights and operational efficiencies, it also creates new challenges for existing data infrastructure. To keep up with this explosion and capitalize on new data-driven business opportunities, enterprises must select a data analytics architecture that fits the specific needs of their business and the structure of their data.
Join us for our latest Data Science Central Webinar with guest speakers Mike Gualtieri, VP and Principal Analyst at Forrester, and Steve Sarsfield, product evangelist and spokesperson for HPE Vertica, while they discuss a newly commissioned study on enterprises that select the correct mix of analytical engines and the best database for each job. They will review:
• How a diversity of analytical engines can drive greater ROI
• Which databases have distinct capabilities and “sweet spots”
• Why no one database can do it all
Janne Kallio, Digital Lead, Performance Business, Suunto and Carlo Arioli, Big Data Marketing Manager, HPE
Suunto, owned by Amer Sports, is enriching the customer engagement from hi-end extreme sport watches and outdoor instruments to a full digital experience composed by self-service analytics over their sport competition and training session data. Mining wearables to give real-time answers to sport and fitness fans requires cost-effective, extremely fast IoT Analytics at very large scale.
Suunto runs Vertica to enable a multichannel experience over watches, mobile apps and their brand new Movescount.com website, where users can log everything and compare their performance instantly with peers to enable virtual competitions.
Suunto selected the Vertica Analytic database to cope with ingesting and analyzing the massive data from customers and feeding results back to downstream systems via REST APIs in real-time. The cost-effective analytical database also helped to cope with a variety of challenges to support Suunto cloud services managing over 50 different types of devices and 50 application partners for vertical sport apps.
• Discover how companies are using IoT analytics to enrich their products with online services from wearables data to excel at customer engagement and brand differentiation
• Learn why Vertica is different for IoT Analytics and why it is chosen by New Economy leaders for connected devices
• Get answers to your own questions during the live Q&A
Jake Dolezal, Practice Leader, Analytics, McKnight Consulting Group and Sanjay Baronia, Product marketing Manage, HPE Vertica
Two distinct trends are converging! Cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2016 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, data-driven organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.
A benchmark study was conducted to assess query performance and concurrency impact of HPE Vertica and AWS RedShift running in the Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.
In this webinar, we will discuss the results and key takeaways of the benchmark. We will also uncover, how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms—in a cost-effective manner.
Dana Gardner, President & Principal Analyst Interarbor Solutions & Kevin Decker, Technical Product Manager, Quest Diagnostics
Join Dana Gardner with Interarbor Solutions and Kevin Decker with Quest Diagnostics in this webcast to discover how to integrate data silos to unlock healthcare structured and unstructured content to accelerate insight discovery and increase effectiveness. Using a real world example within the healthcare industry, you'll hear about industry trends and challenges and how Quest Diagnostics built their ChartMaxx solution leveraging the HPE Idol platform to benefit both patients and providers.
For patients, this feature means that all of the data in their electronic medical records is easily accessible to their healthcare provider, who may refer to this information in making diagnostic determinations, prescribing medications and other healthcare decisions. It also helps the healthcare provider access the data they need more quickly. These advantages ultimately lead to better patient care.
Colin Mahony, SVP & GM, HPE Big Data Platform and Joy King, VP, Product Marketing & Field Engagement, HPE Big Data Platform
Get your questions answered and hear how the Spin-Merge benefits our abilities to deliver advanced analytics and machine learning for your Big Data needs.
Join two of our HPE Software Big Data leaders to hear firsthand about the recently announced spin-merge. Gain direct insight into what it means for you. This is a big opportunity for us to deliver even more of the advanced analytics at Exabyte scale that all data driven organizations depend on in our fast moving world. Hear about our Big Data portfolio strategy including upcoming innovations addressing performance at scale for tomorrow’s workloads, infrastructure independent deployments and a growing set of in database machine learning algorithms. Bring your questions and join us on this accelerated journey to success.
Chris Hsu, EVP, David Jones, SVP, and Joe Garber, VP Marketing, Information Management and Governance, HPE
Hear directly from Hewlett Packard Enterprise senior executives about the recently announced Spin-Merge and how this news will positively impact HPE’s Information Management & Governance products and services.
On September 7, Hewlett Packard Enterprise announced plans for a spin-off and merger of our Software business unit with Micro Focus, a global software company dedicated to delivering and supporting enterprise software solutions. The combination of HPE’s software assets with Micro Focus will create one of the world’s largest pure-play enterprise software companies.
Join senior executives from HPE Software, and the Information Management and Governance business unit, to learn how this spin-merge will positively impact HPE’s technology portfolio and the ability to address your (or your customers’) needs. Hear firsthand about investments that are being made in HPE’s Adaptive Backup & Recovery, Secure Content Management, Verity, and Digital Safe suites. And have your questions answered by top executives. We look forward to you joining us.
Justin Coffey, Senior Staff Dev Lead, Criteo and Ben Smith, Product Marketing Manager, HPE
Could you benefit from a Big Data COE? Whether you formally call it a CoE or not, your big-data analytics initiatives should be led by a team that promotes collaboration with and between users and technologists throughout your organization. Join this webinar to hear from Justin Coffey, a senior staff development lead at the performance marketing company Criteo, to hear how they used a Center of Excellence model to drive business- and customer-value results with big data analytics.
Mike Hamilton, Sr Vice President of Products, Ziften Technologies & Dana Gardner, Principal Analyst, Interarbor Solutions
Join this interview between Mike Hamilton, Sr VP of Products at Ziften Technologies & Dana Gardner, Principal Analyst at Interarbor Solutions to discover the latest security trends driving the need for predictive protection. Learn how leveraging next generation security analytics enables protection against advanced threats, such as human directed attacks, ransomware, cryptoware and unknown malware. The interview will provide insights into how businesses can meet their security goals with enterprise-wide visibility and instant analytics.
Raj Dhillon, Chief Field Technologist for Big Data, HPE
In a hypercompetitive world, faster and better decisions and actions are critical. So, can your individual staff members working in different functions find the right information at the right time to make that happen? Enterprise search systems can save as much as 30%* of the time spent by employees searching for information. The cumulative impact across the organization could be far-reaching. Come and find out how machine learning can accelerate intelligent search and knowledge discovery.
DIna Love,HPE, Akshar Dave, Softnets, Steve Sarsfield, Jeff Healey
One of the biggest issues facing organizations today is extracting intelligence from data residing in multiple silos across the datacenter. HPE Vertica 8 provides organizations with a unique, analyze-in-place, unified architecture that enables businesses to continually gain intelligence from their information, wherever it lives. HPE Vertica 8 also includes core data movement and orchestration enhancements, resulting in up to 700 percent faster data loading for hundreds of thousands of columns, simplified data loading from Amazon S3, and comprehensive visual monitoring of Apache Kafka data streams. With this webinar we will have key individuals from HPE Vertica team to deep-dive into the latest innovations included as part of HPE Vertica 8 release.
Cheryl McKinnon is a principal analyst at Forrester Research
Our guest speaker, Forrester Analyst Cheryl McKinnon, author of the
recent report entitled "The State Of Records Management In The Public Sector:
Top Challenges And Priorities For 2016" will present her latest findings and recomendations.
- Find out how public sector professionals can leverage big data initiatives to automate records capture and shift to a digital-first way of working.
- Learn about today’s public sector landscape for records management and how it demonstrably lags behind advances in the private sector.
- Explore ways to leverage big data initiatives to drive more successful and sustainable public sector records management programs.
Join Hewlett Packard Enterprise and Forrester Research for an informative webinar "Using big data to escape the growing public sector paper avalanche!"
There are many potential threats to the security of your HPE Vertica data. Learn the most common threats and how to harden data access, authentication, authorization and encryption of your Vertica data. In this webcast we'll cover:
• Authentication options an best practices
• Granular Column/Row Masking
• Dynamic Data Protection via HPE SecureData
HPE Vertica is the fastest, advanced SQL analytics database, available on-premise, on Hadoop, and multiple clouds. With tight integration with open-source technologies such as Hadoop, Kafka, and Spark, and complementary offerings through an ecosystem-friendly architecture, HPE Vertica delivers highest performance at extreme scale. HPE Vertica. Built for fast. Built for freedom.