Business Intelligence helps retailers, warehouse staff, customer services agents, and your value chain realize new innovations, improve margins, and propel profits to new heights. Learn how Ace Hardware, Food Lion, and others leverage our software.
Published By: Prophix
Published Date: Jun 03, 2016
For an increasing number of organizations, enterprise performance management (EPM) tools are enabling senior finance executives to integrate plans, understand where they're losing money, move from annual budgets to rolling forecasts, and identify opportunities for strategic improvements. During this Webcast, a panel of experts will explore: • Why business intelligence and business analytics are each important to your business; • How Big Data and analytics can help your organization answer more questions and ask even better ones; • The capabilities that enterprise performance management software offers organizations; and • How to evaluate what your organization can gain by implementing enterprise performance management software.
Business intelligence analytics streamline the task of gathering critical data across the health care enterprise and turns it into readily accessible, actionable information. Health care business intelligence is a package of software and services that offers clarity on and control over the vast amount of data needed to successfully run a medical organization.
Register to view an on demand video presentation and learn how to leverage powerful business intelligence and performance management software for the midmarket with valuable tips and access to more in depth information.
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace.
Listen to learn about embedding BI software, including;
• Top uses cases for embedding business intelligence software
• Case studies from different companies currently embedding BI
• Build vs buy considerations
• Evaluating ROI
Published By: QASymphony
Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get
enough of it. But as it turns out, a lack of data isn’t our problem
-- our problem is the difficulty piecing together, understanding and
finding the story in all the data that’s in front of us.
In software testing in particular, the need for consolidated,
meaningful test metrics has never been higher. As both the pace of
development and the cost of delivering poor quality software
increase, we need these metrics to help us test smarter, better and
Fortunately, business intelligence now exists to make this goal a
reality. The analytics these tools provide can help drive efficient
and effective testing by providing teams with insight on everything
from testing quality and coverage to velocity and more. And this
knowledge can position the QA team as trusted experts to advise
the entire software development team on steps that can ensure a
better quality end result.
It’s hard to make good decisions without good information. Having access to data, and the tools to quickly analyze that data, is essential. Without data, you are blind to how your business is performing and areas for improvement—all you have to go on is instinct.
A robust business intelligence (BI) system can provide new insights to help steer your distribution organization clear of obstacles that impede growth—and toward the opportunities that enable it. A monthly report just doesn’t cut it anymore. You need real-time information, and if you’re running legacy software, it’s probably slowing you down.
Like fine-tuning the sales process itself, managing your Pipeline requires you to closely inspect (and clearly define) each opportunity stage, carefully track the right sales metrics, and keep a close eye on the opportunities that your reps are working on.
If you want to improve your sales team's results, you need to start by asking the right questions. Download this new best-practices eBook to learn about the 12 key questions for data-driven Sales Managers. This informative guide will help you:
- Determine Key Metrics For Sales Management
- Improve Sales Team Productivity
- Closed-Won More Deals
Download a free copy of "12 Must-Ask Questions for Data-Driven Sales Managers" today.
How confident are you in the accuracy of your sales forecast? If the end of every quarter is a surprise and you're never sure if you'll hit your number, you probably need to change the way you forecast.
Published By: Prophix
Published Date: Apr 24, 2013
Built for non-IT professionals, this white paper explains the differences between Business Intelligence (BI) and Corporate Performance Management (CPM), two fast-growing forms of software utilized by leading finance departments today.
Published By: QlikTech
Published Date: Aug 27, 2013
The Tectonic Plates are shifting in the BI software market - The promise of business intelligence software is to enable decision makers at all level in an organization to leverage data for business advantage - to explore data, draw insights and meaningful conclusions, and make better decisions. This research paper shows how the QlikView Business Discovery Platform delivers true self-service BI that empowers business users by driving innovative decision-making.
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
Published By: SRC,LLC
Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
Published By: Vertica
Published Date: Dec 01, 2008
Cloud computing is ushering in a new era of analytic data management for business intelligence
(BI) by enabling organizations to analyze terabytes of data faster and more economically than
ever before. The key change: cloud database software is provisioned within minutes, without data
center overhead, and it's licensed on an on-demand basis.