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...
Webinar: Why Embedded Analytics are the Key to Smarter Decisions

Webinar: Why Embedded Analytics are the Key to Smarter Decisions

Gut instinct can be very beneficial, but decision-makers realize that data-driven insight is king when it comes to influencing decisions. For more information on Embedded Analytics: The Users Guide to Embedded Analytics Winning with Embedded Analytics: Two Paths to Glory Embedded Analytics for the ISV: Supercharging Applications with BI  The problem isn’t deciphering that analytics are needed here — it is rather deciding on which features should be a part of your analytical choice. While most business tools and applications are built with rudimentary capabilities — i.e. reporting and dashboards — more users today are clamoring for a broader and deeper set of tools from data preparation to interactive visualization. As a result, solution providers and Independent Software Vendors (ISVs) have taken notice and made efforts to bolster their solutions with a greater breadth of powerful analytical capabilities. Enter embedded analytics. And even beyond the expanded capabilities that embedded analytics provide users, the key to its wide analytical adoption is that these key features are integrated or embedded in existing and culturally adopted business applications. The data supporting deep user satisfaction, as a result, is profound: To learn more about the power of embedded analytics, join Mike Lock, Aberdeen Group V.P. & Principal Analyst for Business Intelligence, on Thursday, March 3rd, at 1 PM EST, for the live webinar, Embedded Analytics: Empowering User Analytics with Amplified Applications. Can’t make the time? Register anyways, to receive a link to the on-demand recording. Mike will discuss key research findings, including: Top challenges around data complexity and decision urgency The user impact of an embedded approach to analytics Leading strategies to embed analytics and empower customers ISV Performance implications (customer growth,...
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