Published By: Tableau
Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excelís data collection and management capabilities with Tableauís intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet.
Read more at about this partnership.
To better understand competitive retail dynamics and help guide
retailersí 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 leadersóanalysts, 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.
Countless companies want to take advantage of Microsoft SQL Server 2005 and its notable business and technology benefits. However, with the prevalence of large, complex and sprawling information technology (IT) infrastructures, many organizations are wary of - or avoid altogether - the time, expense and effort required for a mass overhaul of their database environment.
The success of SQL Server in recent years has produced a phenomenon of SQL Server sprawl - the uncoordinated deployment of tens, hundreds or even thousands of database servers. The result has been low levels of utilization, poor availability and, most importantly, an enormous management burden inflicted on many IT departments. There is an acute need for a way to deploy SQL Server that allows capacity to be matched appropriately to need, that provides high availability without introducing extra complexity and extra cost, and that actually simplifies the life of administrators.
Microsoft SQL Server has enjoyed phenomenal success as a database server. Its relatively low cost, steadily increasing capabilities and ease of deployment have all combined to accelerate its growth. However, that same growth has led to a phenomenon commonly called SQL Server “sprawl”— the rampant, often uncontrolled, proliferation of SQL Server databases.
Published By: SRC,LLC
Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‚Äźmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‚Äźprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
To manage threats to the enterprise and successfully meet compliance challenges, organizations need a comprehensive security strategy that can successfully do battle with inside as well as outside threats. Today, companies are increasingly leveraging security information management (SIM) solutions to build a clean, concise, and manageable process for dealing with the tremendous volumes of raw security information from disparate devices, applications, and databases.
"The Industrial Internet of Things (IIoT) is flooding todayís industrial sector with data. Information is streaming in from many sources ó equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intelís leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
This book brings a practitionerís view to Big Data Analytics. Download this ebook to read a practical viewpoint into leveraging analytics for Big Data. This book also draws material from a large number of workshops and interviews with business and IT leaders.
Learn more about ĎBig Data and Business Analyticsí through IBMís latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use.
Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights.
Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
Did you know that hackers arenít just interested in large enterprise businesses? Or that you can operate your business without raw payment data? Learn the truth about the five most common payment security myths today in this informative e-book.
Published By: Adverity
Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics
Marketing Data is big & highly fragmented
Big data is messy. Itís scattered across platforms, itís diverse, and in its raw form, itís practically unusable.
We know, itís a painful truth. The fact of the matter is that having a lot of data doesnít necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack.
But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to.
Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilŠ - your download is ready. Enjoy this read!
Published By: Engagio
Published Date: Jun 26, 2018
This is an inside look at the state of Account Based Marketing. More specifically, our research examined:
?How companies are utilizing ABM as a strategy
?How organizations are structuring their teams to support ABM
?How ABM can be measured at different stages
?The challenges most organizations are facing regarding ABM
Along with showing the results, weíve included our interpretation of the data to help you draw insights and apply them as you continue down your ABM journey. The research underscores where companies are at with their ABM programs and the key challenges they are facing.
Regardless of your company size or maturity, there is always a need to grow your business and drive efficiency. The data from this survey illustrates how ABM can help.
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 makeÖ 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, youíll learn how by eliminating the traditionally high Ďcost of entryí for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
Virtualization is moving to the mainstream and may soon be overtaking non-virtualized environments as a method for deploying applications. Does this broad adoption of virtualization, though, make network security easier or more difficult to achieve? While responses to this question are still highly varied, one thing is certain: most companies still have no clear and definite security policy for their virtual environments.
Seksui Diagnostics servers diagnostic manufacturers and clinical laboratories worldwide with a unique product portfolio comprised of diagnostic intermediaries or critical raw materials, finished reagent kits for use on clinical chemistry analyzers, and point of care rapid tests. With the demand for accurately scaling infrastructure requirements, they turned to EMC.
In this whitepaper, learn the challenges needed to rapidly build a new data center from scratch and how EMC software can help create a new data center build-out in 3 months.
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and
analytics. And you can do it through an interface that anyone can use.
At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days.
Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for
the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and
discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the
right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
The printer salesman began his pitch: "Once upon a time there was a poor, dull document that was of interest to no-one. Its vital information was ignored by one and all, and it stayed unloved and unlovely at the bottom of a drawer in the kingdom of Officeland." NewField IT is an independent consultancy practice with primary data covering 28 countries and over 70,000 devices. In this paper, they take an impartial look at the use of colour in an office, its advantages and the cost to a business.
The way companies listen and react to customers through social channels is crucial for businesses today. Social data is raw, real, uniquely insightful and the most authentic representative that marketers have seen in many years. Companies have the opportunity to take rich data and truly learn, understand and engage customers better than they ever have before. Hear how companies like General Motors are using Social Command Centers to improve their customer experience interactions and drive product innovations.
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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