For midsize organizations, business analytics offers the crucial ability to transform data into insight and uncover opportunities for growth and competitive advantage. This Aberdeen Sector Insight explores the impact of business analytics in North American midsize organizations.
People, machines, data, processes are more connected than ever before, in more ways, and at a pace not previously envisioned. Because of this, the means of user interaction are evolving rapidly, and the outcome is an explosion of information increasing at epic rates. Both the opportunity and the challenge for an organization is to execute a strategy to most effectively participate in, exploit and derive ongoing value from the expansive digital world. To evaluate and ultimately better facilitate this, many organizations are specifically defining a digital strategy as part of their overall general business strategy. Central to that digital strategy is the digital experience.
Published By: Select Hub
Published Date: Nov 07, 2017
Interactive analyst report gives you comparison ratings, reviews and pricing from actual software selection projects.
Unlike some ratings, SelectHub product scores are taken from multiple sources including top analysts and actual buyers of the software—ideal for your shortlist.
Find the right BI analytics tools:
• Actionable insights from experts: In plain language, find out how each product supports the functions that matter most to your company.
• Key requirements criteria: Get a comprehensive list of the key requirements for use in your software evaluation and vendor selection.
• Easy pricing: Get recommendations and pricing for solutions matching your business needs.
• Includes practical guide: How to Buy Business Intelligence Software
Over 80 business analytics and BI tools evaluated. The SelectHub platform contains expert software analysis across key criteria and vendor data. These built-in analyst ratings are combined with subjective user ratings to create SelectHub ratings r
More and more companies are moving to the cloud for B2B services, and for good reason. There’s a huge potential for increased visibility and analytics-driven insights to be gained from B2B transactions that can give businesses unprecedented levels of information. But many organizations continue to struggle when it comes to going beyond basic transactional data and historical performance metrics. What does it take to not only report on past activity, but to get real-time alerts, predict future events, manage exceptions, and proactively leverage this wealth of data in order to put it to work? Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
Published By: Riverbed
Published Date: Jan 28, 2014
Application performance management helps deliver the application performance users and the business demand. Effectively monitoring and troubleshooting application performance issues requires a comprehensive solution.
Published By: Riverbed
Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your
existing monitoring and management strategy.
Published By: Riverbed
Published Date: Sep 08, 2014
In today’s app-centric world, poor performance is bad business. It’s your job to protect the end-user experience—but that’s a tall order without a UNIFIED VIEW of performance that puts your network and application health in crystal-clear focus.
With clickstream analytics, you know WHAT your online customers are doing online. But, do you know WHY? To learn how to take your web analytics to the next level by adding the WHY to the WHAT, download this free white paper on the value of adding customer satisfaction measurement to your behavioral web analytics.
Marketing executives, face a constant stream of business pressure. At the same time, customer expectations are increasing and customer satisfaction is becoming increasingly difficult This report provides a blueprint of what best-in-class CMO's (Chief Marketing Officers) do differently to improve marketing effectiveness through marketing automation.
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
The Connected Customer is an individual who is intimately connected
to the data, outcomes, decisions, and staff associated with any
relationship to an organization. This intensely personal connection is
not just a matter of the most recent transaction, but represents a
combination of connected data, connected analytics, and collaborative
decisions associated with improving the customer’s relationship with
the organization over time.
In this report, Blue Hill explores the key traits associated with
supporting the Connected Customer through the Internet of Things,
and provides guidance on why the Internet of Things will be essential
across the general business landscape
To survive and thrive in an era of accelerating digital
disruption, organizations require accessible data,
actionable insights, continuous innovation, and
disruptive business models. It’s no longer enough to
prioritize and implement analytics – leaders are being
challenged to stop doing analytics just for analytics’
sake and focus on defined business outcomes.
In addition, these leaders are being challenged to
bring predictive capabilities and even prescriptive
recommended actions into production at scale. As AI
and accelerated growth and transformation become
top of mind, many enterprises are realizing that their
current segmented analytics approach isn’t built to last,
and that real transformation will require proper endto-
end data management, data security, and a data
processing platform company-wide. The year 2019 will
be a turning point for many organizations that realize
being data-driven doesn’t guarantee future success.
Most organizations appreciate the potential benefits that customer can reap but many face difficulties effectively turning information into actionable insights. Read this white paper to learn how an effective customer analytics strategy can help drive top-line growth, avoid unnecessary costs and increase customer satisfaction. Understand where your organization is in its pursuit to gain deeper customer insights with four stages of organizational capabilities and associated customer analytics strategies: gain insight from the information explosion; share information internally and across value chain; move from reaction to prediction; and adapt business models that enable faster creation of value.
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time.
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now.
Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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