Published By: Veritas
Published Date: Jan 04, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands.
You will learn:
The key trends that are driving change in the digital business
The most common causes of data loss in tomorrow’s multi-cloud data centers
How to protect an increasingly diverse environment with minimal operational overhead
Published By: Progress
Published Date: Mar 06, 2017
The Digital Marketing Maturity Guide helps organizations determine the level of sophistication within their digital marketing operations. Dimensional Research to conducted a global survey of 700 marketing professionals gauging the level of digital marketing maturity across various verticals and company sizes. Use these findings to benchmark your organization against other groups.
In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.
Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC.
The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas.
You’ll learn how to:
Leverage AI, machine learning and predictive analytics.
Get scalable, high-speed access to vast amounts of data.
Respond faster, become more competitive, and attract new customers.
The client is one of the world's leading insurance companies. In 2007, the client embarked on a journey to transform its actuarial function. The objective was to improve the operational efficiencies and accuracy of actuarial reporting, while meeting tight timelines and reducing operational costs.
Practical perspectives on leveraging data to grow sales, cut costs, up-sell more effectively and make better decisions. Marketers overwhelmingly agree they have access to more than enough data. The problem is finding actionable ways to utilize data that is collected across all customer interaction points to better engage with customer and increase lifetime customer value. This white paper explores the relevance of big data for marketers: what they need to know and the steps they should take today to embrace data and analytics to position their organizations for success today.
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the business—but they have also raised expectations and generated new challenges. In this digibook, we explore the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage. We show how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age.
Each chapter is illustrated by examples from successful businesses that have embraced the new ways of working as well as guidance on how to plan for and implement the changes that are right for you.
After interviewing leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change. Read the Economist Intelligence Unit (EIU) report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance need to make data visible across the business
• Why it’s important to develop metrics for digital success
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox.
This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. Gartner helps data and analytics leaders evaluate 19 vendors in an increasingly split market.
Download the Gartner Magic Quadrant report and find out more.
Published By: Exabeam
Published Date: Sep 25, 2017
In evaluating UEBA solutions’ ability to detect, prioritize, and respond, it is important to understand the full potential of data sciencedriven analytics. Organizations should ask their vendors if they can support the following Top 12 UEBA use cases, and most importantly, demand that the vendor demonstrate this support within the POC or pilot.
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics.
Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.
With data and analytics the new competitive battleground, businesses that take advantage will be the leaders; those that do not will fall behind. But with data so distributed, gaining this advantage is a huge challenge. Unless you have data virtualization, a better, faster way to meet your analytic data needs. Read this white paper to learn who needs data virtualization and what kinds of benefits others have achieved.
Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniques—but that doesn't stop them from wanting to have a go. But making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their data—and that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work.
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT.
Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction.
Download this paper
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices
SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with advanced analytics, threat detection, monitoring tools, incident response tools and multiple forms of threat intelligence.
Download your complimentary copy of “The Six Essential Capabilities of an Analytics-Driven SIEM” and learn how to dramatically improve your security posture, advanced threat detection and incident response.
Alice Bluebird, a quirky security analyst for hire, is hunting down a nation state of hackers thirsty for the recipes of Frothly, a cutting-edge craft brewery. Follow Alice as she works to solve the mystery of the breach. Did she catch the incident before the hackers managed to steal Frothly’s super secret formulas? Did the hackers act alone or — scarier yet In this light hearted graphic novel “Through the Looking Glass Table”, discover how machine data, as well as an analytics-driven platform, log management, SIEM, UEBA and SOAR solutions, can help anyone — IT managers and sophisticated SOC analysts — better understand and respond to incidents, breaches, phishing attempts, insider threats and more.— did they have help from the inside?
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population.
Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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