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
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.
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: Tricentis
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.
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.
Business Intelligence Software are applications that build on existing data warehouses and provide analytical processing tools that allow users to more effectively analyze such data. This, in turn, permits businesses to more rapidly develop existing and new analyses and reports for improved decision-making power and information dissemination capacity.
ROI is based on the analysis of differential cash flows. In the case of remote data acquisition and aggregation systems for fuel tank operators, it is based on calculating the cost of acquiring and aggregating the data manually and compared to the total cost of owning, maintaining and operating an automated data acquisition and aggregation system.
To be successful in today's safety-conscious and efficiency-minded marketplace, companies must combine compelling new technologies to offer the most convenient and effective business services and solutions. For monitoring remote tank sites, that means combining the intelligence of General Packet Radio Service (GPRS) communication with the risk mitigation properties of intrinsic safety.
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