Published By: Acronis
Published Date: Dec 28, 2011
This Analyst Insight by the Aberdeen Group highlights the rise of virtualization and then discusses what leading organizations can do to adjust their data protection and recovery practices to take advantage of this major change.
Enterprise network architectures are evolving as a result of the growth of public cloud, proliferation of mobile devices, and organizational requirement to collaborate with global users. In this on-demand webinar, Gartner Research VP and Distinguished Analyst Mark Fabbi and Akamai Technologies' Enterprise Web Experience Product Manager, Greg Lord, will provide insight into
this new trend.
As a financial services provider, you have probably invested hundreds of thousands, if not millions of dollars, in building an analytic infrastructure. But, do your line-of-business analysts and managers have access to the data and insights they need, when they need them?
Three ways Alteryx can help you improve customer experience, manage risk and increase operational efficiency
Case studies on how your peer financial services companies are using self-service data analytics for a competitive edge
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making.
Download this new paper to get the details behind self-service data analytics, and how it lets business analysts:
Take charge of the entire analytical process, instead of relying on other departments
Overcome limitations of legacy tools to save time and prevent errors
Make more comprehensive and insightful business decisions at speed
Analysts struggle to incorporate new sources of data into their analysis because they rely on Microsoft Excel or other tools that were not designed for data blending. Deleting columns, parsing data, and writing complicated formulas to clean and combine data every time it changes is not an efficient way for today’s analysts to spend their time.
Download The Definitive Guide to Data Blending and:
Understand how analysts are empowered through data blending
Learn how to automate time-consuming, manual data preparation tasks
Gain deeper business insights in hours, not the weeks typical of traditional approaches
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process.
Download The Definitive Guide to Self-Service Data Analytics to:
Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you
Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require
See how Alteryx stacks up against traditional data prep and analytics tools
Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
Published By: Altiscale
Published Date: Mar 30, 2015
This industry analyst report describes important considerations when planning a Hadoop implementation. While some companies have the skill and the will to build, operate, and maintain large Hadoop clusters of their own, a growing number are choosing not to make investments in-house and are looking to the cloud. In this report Gigaom Research explores:
• How large Hadoop clusters behave differently from the small groups of machines developers typically use to learn
• What models are available for running a Hadoop cluster, and which is best for specific situations
• What are the costs and benefits of using Hadoop-as-a-Service
With Hadoop delivered as a Service from trusted providers such as Altiscale, companies are able to focus less on managing and optimizing Hadoop and more on the business insights Hadoop can deliver.
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify.
In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
In Q4, 2009, ENTERPRISE MANAGEMENT ASSOCIATES (EMA) analysts worked with ASG to research how executives in IT and within the lines of business use dashboards to gain holistic insights into IT services as they impact business outcomes.
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale.
Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process.
With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
In this Analyst Insight, we will focus on how Corporate IT is using Private Clouds to meet the increasing demands of their end-users and gain better operational control, while at the same time lowering the costs for their IT services.
The Twelve ITSM Providers that Matter Most—and How they Stack Up
Forward-thinking IT teams know that to maintain a seat at the table, their approach to service management must transcend traditional silos. In Forrester's report, you’ll receive valuable analyst insight into which of the twelve market-leading service management tools can best support not only your current ITSM requirements, but also your initiatives to extend and improve service delivery across the business.
To better understand competitive retail dynamics and help guide
retailers’ strategies, Cisco undertook a comprehensive, three-pronged research project, the fifth annual installment of our retail industry analysis. It comprised:
1. A survey of more than 6000 consumers (all having Internet access) 2 in 10 countries: Australia, Brazil, Canada, China, France, Germany, India, Mexico, United Kingdom, and United States.
2. In-depth interviews with industry thought leaders—analysts, authors, and innovators including Leslie Hand, vice president, IDC
Retail Insights; Michael Olmstead, director, Plug and Play Retail; and Doug Stephens, founder, Retail Prophet
3. An IoE retail economic model drawn from an analysis of the data and lessons learned from Cisco customer engagements.
Published By: Dell EMC
Published Date: May 29, 2015
If you are considering Hybrid Cloud, tune in to this revealing conversation with EMC’s Chad Sakac and Wikibon Analysts, Dave Vallente and Stu Miniman. Great insight on virtualization, Openstack, and the future of cloud computing plus informative details on EMC Enterprise Hybrid Cloud
Published By: Dell EMC
Published Date: Jul 27, 2015
If you are considering Hybrid Cloud, tune in to this revealing conversation with EMC’s Chad Sakac and Wikibon Analysts, Dave Vallente and Stu Miniman. Great insight on virtualization, Openstack, and the future of cloud computing plus informative details on EMC Enterprise Hybrid Cloud.
Published By: Dell EMC
Published Date: Aug 03, 2015
The infographic provide leading analyst insights on the all-flash array market and how innovation accelerators are driving the agile data center through high data growth and the need for increased scalability and performance.
This second edition of the DI Expert eBook provides a collection of articles written by staff analysts from Drillinginfo, the premier provider of data and insights for oil and gas exploration decisions. These articles focus on the Eagle Ford Shale play in south central Texas. The Eagle Ford Shale boom began in 2008 and has transformed the lives of mineral rights owners, communities and E&P operators throughout Texas and the United States. The Eagle Ford Shale is a cretaceous formation with a favorable brittleness index, which makes the formation ideal for hydraulic fracturing and economical unconventional production.
Join Dennis Drogseth, VP of research at leading IT analyst firm, Enterprise Management Associates (EMA) and Hewlett Packard Enterprise (HPE) to get insights from recent EMA research on digital and IT transformation, as well as ongoing industry dialogs surrounding digital transformational initiatives.
The webinar will focus on the need for a new, more business-aligned IT operational footprint in context with digital transformational needs.
Join John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Heine Krog Iversen, CEO at TimeXtender, for a discussion on how to improve your organization’s responsiveness to business change and how to adapt to a data-driven environment.
Attendees will gain insight on:
How data-driven organizations are changing business and technology
Which data sources are empowering data-driven organizations and challenging IT departments
How IT departments and analytical teams can get ahead of data-driven change
How data warehouse automation enables not only data-driven business stakeholders, but proactive IT departments
Published By: Genesys
Published Date: Jul 13, 2018
Compare leading contact center infrastructure vendors.
In Gartner’s 2018 Magic Quadrant for Contact Center Infrastructure, Worldwide, Genesys has once again maintained a leadership position. Placed furthest among all vendors in completeness of vision for 10 years and counting, our position continues to validate our mission to power the world’s best customer engagement solutions for organizations of all sizes—both in the cloud and on-premises.
And according to Gartner peer insights, customers agree.
“Great implementation that was on-time and on-budget!” 1
— CTO in the finance industry
“Solid platform with a lot of features at a reasonable cost.” 1
— IT Manager of Software Engineering in the Services Industry
Get the report now to learn:
• How contact center vendors compare and which quadrant they are aligned to
• Analyst views on the strengths and cautions of all participating vendors
• How to evaluate key criteria to guide your decision-making process
1 Gartner Peer Insights rev