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Published By: Adobe     Published Date: Sep 23, 2019
To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.
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Adobe
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
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Hewlett Packard Enterprise
Published By: Oracle     Published Date: Jan 08, 2018
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
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Oracle
Published By: HERE Technologies     Published Date: Dec 06, 2018
adsquare offers brands insights into customer behaviors and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble tickets in the environment, which are resolved faster. • 85% less time spent resolving storage-related trouble tickets. • 69% faster time to resolution for events that necessitate level 3 support. • The ability to manage and troubleshoot the entire infrastructure environment from a single, intelligent platform.
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Hewlett Packard Enterprise
Published By: Adobe     Published Date: Nov 09, 2017
Robust Data Management Platforms drive intimate customer experiences. You know the importance of identifying your best customer segments and treating them right. You also know that takes a ton of work. But it’s work that we can help you accomplish with our integrated and secure Data Management Platform (DMP). By using Adobe Audience Manager, our DMP offering, you'll aggregate data from all your sources to better understand your current customer segments, while we also help you identify new audiences to target. The new Forrester Wave™: Data Management Platforms, Q2 2017 says “Adobe was a DMP Forrester Wave leader in 2013 and 2015, and continues to set the pace in this Forrester Wave.” See where we receive the highest scores and why we are named a Leader in this report.
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Adobe
Published By: Adobe     Published Date: May 04, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
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Adobe
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Robotic Process Automation was born with the vision of empowering business users to create software bots that could interact with enterprise systems just like humans. Its benefits include substantial time and cost savings, improved customer satisfaction, increased workforce morale, and the ability to build a competitive advantage over competitors. But to fully realize all these benefits, it’s important for businesses to select a solution with a robust RPA security architecture that supports core principles, such as least privileges and separation of duties while delivering end-to-end protection for the critical apps and sensitive data involved. This paper provides an overview of the industry’s highest standard for enterprise-grade security as demonstrated by the market’s leading Digital Workforce platform, Automation Anywhere Enterprise.
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Automation Anywhere
Published By: SAS     Published Date: Apr 16, 2015
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
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SAS
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
Published By: Pure Storage     Published Date: Sep 27, 2019
For most enterprises, 60 to 73 percent of enterprise data goes unused for business-intelligence (BI) and analytics efforts, according to Forrester.1 Data that is out of sight or out of date creates a competitive blind spot for businesses today. With customer demands, economic changes, and new trends and technologies evolving at a dizzying pace, staying relevant — not to mention competitive — requires that businesses access all available BI to be ?exible and agile. Businesses must have quick access to data that is comprehensive, accurate, current, and consumable in real time. A traditional infrastructure, where the online analytical processing (OLAP) platform and the online transaction processing (OLTP) platform are separate, makes ?exibility and agility difficult to achieve. When a business has accurate, current data in hand, it can make real-time data-driven business decisions so that it can stay relevant and competitive, or even be a disruptor in its industry. One way that a busines
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Pure Storage
Published By: Cognizant     Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms. Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
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cognizant, banking, digital
    
Cognizant
Published By: RedPoint Global     Published Date: May 11, 2017
Marketing organizations are often limited in their ability to progress marketing tactics from single channel to cross-channel and real-time customer engagement. While marketing organizations might have a robust customer engagement strategy in place, often times there is a gap between their strategy and their ability to execute, with the right personalization and context that customers prefer. Over 62 percent of customers are always-on and readily addressable, but marketers aren’t implementing the right strategies to reach them. This eBook discusses data-driven marketing tactics that can help marketers mind the gap – bridging customer strategy and ability to execute, with the right personalization and context that customers prefer.
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customer engagement, customer data, customer data platform, data quality, customer data management, customer experience, data-driven marketing
    
RedPoint Global
Published By: RedPoint Global     Published Date: May 11, 2017
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.
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customer engagement, marketing data, marketing data analytics, customer data platform
    
RedPoint Global
Published By: TIBCO Software     Published Date: Aug 13, 2018
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.
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TIBCO Software
Published By: Splunk     Published Date: Aug 17, 2018
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
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: HERE Technologies     Published Date: Sep 26, 2018
Adsquare offers brands insights into customer behaviours and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, Adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places. and why customers make transactions in specific places.
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HERE Technologies
Published By: HERE Technologies     Published Date: Feb 12, 2019
By making use of the right technology, transportation and logistics (T&L) companies can reinvent their industry with superior customer service, increased revenues, and reduced costs. This whitepaper looks at the obstacles facing the T&L industry and examines how fleet planning and trip analysis software businesses can help by enabling faster and smarter data-driven decision-making. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE can help T&L companies improve fleet management.
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location data, transport & logistics, location services
    
HERE Technologies
Published By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
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devops, devops tools, continuous delivery, devops methodology
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.” As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
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