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business intelligence tools

Results 26 - 50 of 56Sort Results By: Published Date | Title | Company Name
Published By: FICO     Published Date: Dec 04, 2017
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
Published By: SAP Inc.     Published Date: Jul 28, 2009
Hospitals from across the world are facing increased pressure to improve operations from multiple directions. Legal requirements, an aging population in many developed countries, and an ever-increasing need to be service-oriented are forcing hospitals to do more with less. Those that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.
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sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes, enterprise applications
    
SAP Inc.
Published By: Microsoft     Published Date: May 16, 2016
By implementing a strategy to capitalize on the Internet of Things trend, you can stop just running your business and start making it thrive. Download this whitepaper to learn 10 reasons your business needs a strategy to capitalize on the Internet of Things today.
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iot, internet of things, microsoft, business, devices, cloud services, intelligence tools, line-of-business assets
    
Microsoft
Published By: CA Technologies EMEA     Published Date: May 25, 2018
The latest version of CA Project & Portfolio Management facilitates core financial activities with the ease and familiarity of a spreadsheet. Two years ago, CA began to reevaluate how organizations were leveraging their project and portfolio management solutions. Our goal was to identify ways CA Project & Portfolio Management (CA PPM) could better serve every user.CA PPM 15.3 simplifies the job of the financial manager with Microsoft Excel® -like functionality, embedded communication and collaboration features, and direct links to the industry’s most popular reporting and business intelligence tools. Today, CA PPM provides financial managers with the ability to visualize, manage and take advantage of data like never before—all from inside the solution.
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budgets, project, cash, flows, finance, project, management
    
CA Technologies EMEA
Published By: Looker EMEA     Published Date: Sep 27, 2017
Want to know how Business Intelligence products vary in categories such as scalability, reliability, technical support, value for price paid, integrity, and whether the vendor is recommended? Read this report to get: • A side-by-side comparison of 28 BI tools • Ratings across 33 metrics for each vendor • Real customer feedback on performance
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technology efficiency, cloud storage services, mobile devices, applications, online collaboration tools, client services, data encryption, remote access, workflow integration
    
Looker EMEA
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
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.
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src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless, data warehouse, interoperability, analytic environment, data assets, report generation, output options, total cost of ownership, tco, roi, return on investment, olap, enterprise applications
    
SRC,LLC
Published By: IBM     Published Date: Oct 15, 2009
In the ForwardView article, you'll learn how Business Intelligence (BI) solutions provide greater visibility across the entire business to help you spot trends in real time.
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business intelligence, bi tools, ibm, forwardview, midmarket, data mining
    
IBM
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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value, business intelligence, disclosure management, solutions
    
IBM
Published By: Oco, Inc.     Published Date: Nov 12, 2008
Many companies have business intelligence (BI) tools and infrastructure that serve their business’ needs; however, certain functional departments, business units, or key business initiatives often don’t yet have the BI tools that they need in place.  There is a new approach to BI to address those pressing business needs that leverages the existing BI infrastructure and can deliver value to the business in weeks rather than months and at a fraction of the cost of a traditional BI solution. Learn how Complementary BI leverages Software-as-a-Service (SaaS) BI solutions to address targeted business needs in a way that complements in-house BI systems, leading to a win-win situation for business users and IT analytical tools to business users.
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oco, business intelligence, software-as-a-service, roi, enterprise applications
    
Oco, Inc.
Published By: Panorama     Published Date: Jan 22, 2014
To help organizations evaluate their Business Intelligence needs, Panorama Software has built a vendor agnostic multi-vendor evaluation work sheet. Organizations can rank as many vendors as they wish in a spread sheet that contains over 150 features. All data is then aggregated into a results sheet, displaying your top options.
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panorama, business intelligence, bi vendors, free tools, bi matrix, intelligence, buyers guide, data management, business analytics
    
Panorama
Published By: SAP     Published Date: May 15, 2008
Read this white paper by Don Tapscott and explore the criteria best-in-class hospitals use for selecting business intelligence solutions. Companies that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.
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sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes
    
SAP
Published By: SAP     Published Date: Apr 07, 2011
Organizations of all sizes across nearly every industry sector are facing unprecedented macro-market forces that are driving them to seek new business intelligence (BI) tools to achieve their corporate objectives. Traditional BI systems generally require dedicated staff to generate meaningful analysis, but the analysis is still difficult to share. As a result, many departmental managers and end users have relied on simple spreadsheets, which require significant manual effort and provide limited insight.
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bi on demand, saas analytics, sap, businessobjects, business data
    
SAP
Published By: SAP     Published Date: Apr 14, 2011
The recent wave of new business analytics tools, solutions, and capabilities marks a true revolution in BI. In this SAPinsider Special Report on Business Intelligence, SAP Executive Vice President Sanjay Poonen lends his insights on the market drivers for this BI revolution, and explains what it all means for SAP customers. The article also features SAP ecosystem partners highlighting how SAP customers can unleash the power of information to truly innovate their business.
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business intelligence, business analytic tools, sanjay poonen, information management, enterprise performance management, governance, manufacturing intelligence, sap, performance
    
SAP
Published By: Gleanster Research     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 229 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions and analysis of 32 solution providers. Most organizations today have business intelligence (BI) tools or at least some way of churning out reports. Fewer have a true business intelligence strategy or a well-architected BI platform for generating actionable insights. Broadly considered, BI encompasses all aspects of gathering, storing, cleansing, analyzing and distributing data. This Gleansight benchmark report reveals how Top Performers are justifying their investments in next-generation BI capabilities, how they're overcoming implementation and organizational hurdles, and how, as a result of their investments, they're now able to make more timely and better informed business decisions across multiple organizational functions.
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gleanster, business, benchmark, business intelligence, roi
    
Gleanster Research
Published By: SAS     Published Date: Aug 27, 2010
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.
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sas, analytics software, business intelligence, data mining, automated analytical tools, computerworld
    
SAS
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse
    
IBM
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
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Select Hub
Published By: IBM     Published Date: Oct 30, 2014
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
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business analytics, big data, bi/ba, it management
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Daptiv upgraded to IBM® Cognos® Business Intelligence 10.2. By combining Cognos Lifecycle Manager with custom-built tools, Daptiv successfully migrated over 30,000 reports to the new version with no disruption for its 500-plus clients.
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ibm, daptiv, project portfolio management, analytics, cloud computing, saas
    
IBM
Published By: Oracle     Published Date: Mar 18, 2014
Much as a journalist is expected to report on the “who, what, when,” etc. when filing their story, professional business-to-business (B2B) sales reps are more likely to open doors, nurture opportunities, and close deals when they know more about their prospect or customer. Sales Intelligence, as a broad category of tools and services within the Sales Effectiveness space, represents a significant opportunity for all varieties of sales-oriented job roles to better understand their buyer both before and during the traditional — and non-traditional — sales cycle. This Research Brief summarizes initial Aberdeen research findings based on recent sales intelligence data collected from 206 survey respondents, and provides specific guidance regarding best practices and technologies that sales leaders and sales operations practitioners are well-advised to adopt.
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oracle, b2b, sales intelligence, sales effectiveness, traditional sales cycle, non traditional sales cycle, sales operations, sales research, customer prospects, data center
    
Oracle
Published By: Informatica     Published Date: Apr 16, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality
    
Informatica
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