What’s Cloud Got to Do with It? (When it Comes to Analytics) [WEBINAR]

What’s Cloud Got to Do with It? (When it Comes to Analytics) [WEBINAR]

I’ll try not to break into a Tina Tuner song and dance while delivering the answer (I don’t think anyone deserves the pain that would ensue from this), but the answer to this title question is…a lot. While the analytical capabilities available today are more diverse (e.g. the Internet of Things, geospatial, predictive analytics), the cloud has not lost a step in its ability to house these capabilities. Additionally, as more applications and data sources migrate to a cloud environment, cloud-based analytical solutions are becoming more and more relevant as a way to bridge the gap between data, and create relevant insights derived from all over the organization. Oh, and never fear — capabilities like managed reporting and static dashboards work just as well in the cloud as they do on-premise. So what’s the takeaway from all of this? Top-performing companies realize these cloud benefits, and are expanding their on-premise analytical activities into cloud environments to reduce reliance on IT, improve analytical adoption and engagement, and produce repeatable business results.` Live Webinar For more information on  the subject, join us at 1pm EST on Tuesday, April 26, 2016, for the live webinar, The Intelligent Cloud: Self-Service Insight Drives Business Execution, where Aberdeen V.P. and Principal Analyst Michael Lock will discuss key research findings, including: Top pressures driving the need for cloud-based analytics Best-in-Class strategies for data management and visualization Business impact of efficient analytics in a cloud environment During the event, you’ll also have a chance to share your questions. So come prepared for a live Q&A as well! And we know you’re busy: If the time doesn’t work for your schedule, consider registering for the webinar...
Five Secrets to Turning Big Data Into Fast Data

Five Secrets to Turning Big Data Into Fast Data

Organizations today realize that it’s a double-edged sword when dealing with Big Data — not only is there a lot of it flying into the business at a feverish pace, but it is more complex than ever before, especially as the business scales. And as if it were enough to just deal with this growing volume and complexity, with tight decision windows, business leaders are expected to hasten this decision process and make sense of this influx of data faster than ever before. We realize you’re not Superman (if you are, you’ve got bigger things to worry about), so we’ve got you covered in these five secrets to turning Big Data…into fast data, through effective data management and integration. For a bonus sixth secret, be sure to check out the full checklist, Six Secrets of Accelerated Data Integration, available 100% free of charge to registered Aberdeen community members.  And for even more on the subject, read the full research report, Big Data Becomes Fast Data with Accelerated...
Small Companies Exploit a Tight-Knit Analytical Community

Small Companies Exploit a Tight-Knit Analytical Community

According to the most recent census data, firms employing fewer than 100 people constitute 98% of the nearly 6 million companies in the U.S. Moreover, these small companies employ more than 42 million Americans. Often referred to as “Mom and Pop Shops,” these companies face the same kinds of challenges as larger enterprises, albeit on a far smaller scale. They need to maintain and grow their customer bases, reduce waste and drive more process efficiency, and boost brand visibility and increase their market presence. Companies large and small gravitate toward business analytics as a tool to help bridge the gap and satisfy those needs. For starters, small companies look to shore up their data and find better ways of sharing critical information across business functions. Prior Aberdeen Group research demonstrated the top three analytical strategies for these small firms: Identify key data sources required for analysis – (41% of respondents) Enable decision-makers to be more self-sufficient with analytical capabilities – (37% of respondents) Improve cross-department collaboration by breaking down information silos – (30% of respondents) This three-pronged strategy makes analytics more accessible and pervasive throughout the organization. Small firms typically have a number of employees wearing multiple hats, and taking on a variety of different responsibilities. These are the very users that can exploit the potential of analytics and spread its value to other areas of the company. Small companies have inherently less complexity in their data environments, which enables them to prioritize which data sources matter the most. Because of the multi-faceted nature of many of the employees, they can transfer knowledge more effectively and empower a greater degree of self-sufficiency...
Data to Insight: Does the Education Sector Make the Grade?

Data to Insight: Does the Education Sector Make the Grade?

Whether student performance is a determinant of public fund allocation, or a leading indicator of school ranking and public perception, public sector organizations often live and die by their ability to measure, manage, and improve this key metric. In these situations, where efficiency is at a premium and data is the only plentiful asset, many organizations in the business world turn to business analytics, and the public sector has been quick to follow suit. According to Aberdeen Group’s recent 2015 Business Analytics survey, public sector organizations are driven toward analytics and data-driven decisions for three main reasons: Fragmented data. Educators across the country are realizing that the most important insights about their students and the operation of their institutions is rarely, if ever, dependent upon data from just one source, or area of the organization. Effective analytics can bridge the gap between different types of heterogeneous data and help create new forms of insight. User demand. While there may be higher demand than ever for business analysts and data scientists, the greatest need for analytical capability is often in some of the least traditional roles within the organization. From financial managers to school administrators, a new crop of job roles and user types has emerged to demand better data-driven decisions. Competitive necessity. Once upon a time, the ability to create an accurate and timely report or dashboard would have been deemed a competitive advantage. Nowadays, that level of analytical activity has become table stakes in the public sector. These organizations are driven to analytics out of a need to simply remain competitive, rather than surpassing the competition. With these pressures in mind, Aberdeen’s...
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