Skip to main content
 

analytic imperative

Results 1 - 13 of 13Sort Results By: Published Date | Title | Company Name
Published By: Skillsoft     Published Date: Sep 25, 2013
HR execs are not finding their budgets rising at the same levels as their workforce requirements. By 2020, the global labor market faces a shortage of 38-40 million college educated workers and 45 million secondary educated workers1. Despite the change catalyst that the mounting crisis demands, many organizations have not adjusted their strategies. Why would an organization race to develop skills by investing the same portion of their budget in classroom approaches and build training that they could buy? To help organizations find a smarter way out of the talent crisis, the Director of Research at the world’s leading learning analytics firm compared the results of Skillsoft elearning to classroom and internally developed elearning benchmarks. The results were clear; Skillsoft provides a solid answer to the global talent imperative.
Tags : 
    
Skillsoft
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
Tags : 
    
Zaloni
Published By: Cisco EMEA     Published Date: Nov 15, 2017
A new Harvard Business Review Analytic Services global study of more than 300 midsize to large enterprises finds that many executives believe current collaboration tools fall short on supporting the depth, pace, and style of teamwork now required to keep up with today’s most important business imperatives.
Tags : 
collaboration, collaboration tools, harvard business review, team work, teams
    
Cisco EMEA
Published By: IBM     Published Date: Jul 05, 2016
In an environment where data is the most critical natural resource, speed-of-thought insights from information and analytics are a critical competitive imperative.
Tags : 
ibm, data warehouse, big data, analytics, data warehouse, business intelligence
    
IBM
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, cognitive computing, analytics, engagement
    
IBM
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
Tags : 
customer engagement, mobile, social, bpm, case management
    
IBM
Published By: Pentaho     Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business. You’ll learn: - The implications of the "freedom vs. control" paradox - How to design for iterative, "frictionless" discovery - Critical checkpoints in data discovery process where governance should be in place
Tags : 
pentaho, governed data, data and analytics, governance framework, freedom vs control, frictionless discovery
    
Pentaho
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.
Tags : 
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
    
SRC,LLC
Published By: IBM     Published Date: Aug 01, 2012
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
Tags : 
ibm, technology, marketing, predictive analytics, predictive imperatives, customer value, customer relationship management, analytics, crm, revenue, profits
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, kenexa talent insights, workforce science, talent insights
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: CA ITAM     Published Date: Sep 09, 2008
In this white paper, EMA discusses the evolution of asset management and asset analytics in the context of overall IT objectives, and describes the need for a standardized environment that is automatically discovered and holistically visualized.
Tags : 
    
CA ITAM
Search      

Add Research

Get your company's research in the hands of targeted business professionals.