When data center architecture extends beyond even moderate amounts of sophistication and complexity, it becomes a daunting challenge for operators to understand what is going on by relying on common tools and processes alone.
Read this eGuide for five recommendations that can help you make sense of your data.
Download this asset to learn the volume and variety of data available today is creating new opportunities to improve your customers’ lives – from personalized recommendations to targeted advertising and intelligent services.
Sponsored by: HPE and Intel®
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
“The biggest problem with big data is using it.”
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed.
Get the white paper to see Forrester's key findings.
Fast-moving employees demand access to people, programs and data from anywhere. Power up their productivity with greater portability and connectivity. Begin by downloading “On the go Professional,” a brief by Dell that uncovers the key needs around convenience, connectivity and access required by mobile professionals. The brief also covers technology recommendations for you to consider, such as the robust line of Dell Latitude and Venue devices powered by Intel®, to meet the preferences of your users. Take advantage of the solutions that maximize enterprise productivity and employee satisfaction today. Download the brief now!
Put simply, the aim of reporting is to translate or convert data into information. Reporting done well often prompts end-users to raise questions about the business. Analytics fills in the gap, answering the questions raised by reporting, thereby transforming data into insights. Read more to find out how analytics can go beyond reporting to provide actionable recommendations to improve business performance.
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service.
Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc.
Published By: Lucidworks
Published Date: Dec 14, 2016
Download this whitepaper to learn about the benefits and trade-offs of contextual and data-based analysis. Recommendations and answers are provided by the next generation of enterprise applications that use search-based features and capabilities to improve performance and add value.
Published By: Carbonite
Published Date: Oct 12, 2017
Today it is possible, even for smaller organizations, to establish both backup and full-fledged hybrid data protection under one robust onsite/offsite underpinning. ESG has four recommendations to assist such organizations as they try to pursue a disk-to-disk-to-cloud data protection strategy in the right way, with particular consideration for EVault by Carbonite.
The growth and importance of edge and cloud-based applications are driving the data center industry to rethink the optimum level of redundancy of physical infrastructure equipment. Read our recommendations for evaluating resiliency needs in White Paper 256: "Why Cloud Computing is Requiring Us to Rethink Resiliency at the Edge."
As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour. NetApp® has released a new way of deploying the cluster Data ONTAP® operating system that runs on hyperscale resources, that when combined with NetApp Private Storage for Cloud, offers customers superior choice in how they manage their cloud storage.
This report from 451 Research examines the data management challenges faced by companies in a hybrid cloud environment and provides recommendations for IT professionals responsible for cloud deployments.
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce.
Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact.
Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
Published By: Datastax
Published Date: May 15, 2017
The customer is no longer king – she’s ruler, dictator, and autocrat. What’s clear is that the old paradigm of “customer service” is out and the new paradigm of customer experience is in. But companies are being too slow to capitalize on technology to improve customer experience. Read this new commissioned thought leadership paper conducted by Forrester Consulting on behalf of DataStax to learn why real-time data should be driving your customer experience decisions, why customer obsession is an imperative for success, why most companies are still missing the mark with CX, and six key recommendations to get your CX engine running.
Published By: Privacera
Published Date: Oct 23, 2017
Trends indicate that every company should embrace big data and analytics – there’s clearly incredible opportunity for enterprises to derive value from data. But not all companies are clamoring to jump on board with building teams and defining initiatives. The reality is enterprises are analyzing only 0.5% of their data, according to recent study by MIT Technology Review. What’s holding these companies back? This paper will cover the categories of risk and some of the constraints at play, as well as five recommendations to managing and mitigating that risk.
FIGHT THE FOMO! MAKE SURE YOU CHOOSE THE RIGHT MOBILE ENGAGEMENT VENDOR
You've been tasked with evaluating mobile engagement vendors. Now what?
Be sure you’re asking the right questions. We’ve gathered questions 14 key areas to ask vendors based on a few data sets — high-level thoughts from analyst firms like Forrester, the best questions prospective customers ask us, what we wish customers in certain verticals would ask, and more. It's thorough and it’ll give you a solid, informed place to start.
Download the RFP template and get:
? A comprehensive list of 150+ questions in 14 key areas — and the business reasons behind asking them
? Recommendations for vertically-specific questions to ensure you’re including what’s most critical to getting your needs met
Have you ever wondered how push notifications impact app user retention rates?
This first of its kind study analyzed the 90-days after first app open for 63 million new app users, comparing retention rates of those who received push notifications with those who did not.
We uncovered surprising, and critical, insights as well as devised recommendations on how to keep users engaged and decrease user churn.
This 61 page benchmark report is full of data points, insights and recommendations.
Download it to learn about:
• The impact of messaging at different intervals in the app user lifecycle
• Recommendations on when & what to message to increase new user retention rates
• Insights on the data specific to four key verticals - retail, media, sports & recreation and utility & productivity.
Published By: SessionM
Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
Start by managing all of your core HR data in the cloud, then open up a full 360-degree view of your employees with integration from talent management and third party-solutions. Follow these FIVE recommendations to streamline processes and increase efficiencies with SuccessFactors Employee Central.
This eBook summarizes the top priorities every retail CIO should have on their radar. From Securing Data to Co-developing Consumer Journeys with the CMO, this eBook provides clear direction and actionable recommendations to get tech leaders started.
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve.
This article targets:
· Steps in the analytics supply chain and the vital role of data and analytic models
· How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products;
· Key questions to ask yourself in determining where you need to fix your analytics supply chain.
Consumers worldwide continue to adopt and use technology in their shopping experience.
Faced with rising customer expectations and increasing competitive pressures, retailers
now are prioritizing in-store innovation. Many retailers have adopted multichannel
implementations, in which mobile, web, and in-store shopping are enabled but not delivered
consistently to the customer. The next step in this evolution is an omnichannel strategy, now
being deployed by some retailers, which presents a consistent shopping experience across
mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end
infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty
programs, personalized recommendations, inventory management, etc.) to improve many
aspects of store and enterprise operations.
An omnichannel strategy relies on several core and supporting technologies. The key factors in
evaluating any omnichannel-enabling solution includ
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