action analytics

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Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: SAS     Published Date: Jan 04, 2019
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. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: Esker     Published Date: Jun 29, 2017
Wasted time is wasted money — and accounts receivable (AR) departments can waste a lot of both with antiquated billing and collections methods. Download the new white paper‚ Winning the Billing & Collections Battle‚ to learn how your organization can overcome common obstacles in every phase of AR by: • Automating invoice delivery without format restrictions • Giving your customers self-service access to invoices • Modernizing post-sale collections interactions • Going beyond DSO with advanced KPIs and analytics With a complete AR management solution‚ time and money is on your side!
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accounts receivable management, invoice management, collections management, ar best practices, invoice portal, invoice delivery
    
Esker
Published By: IBM     Published Date: Oct 10, 2013
IBM MobileFirst is designed to enable organizations turn their interactions into an opportunity to drive return on engagement and investment. IBM combines deep industry expertise with mobile, analytics, cloud, social and security technologies. This can help enterprises capture new markets, efficiently extend their businesses to mobile employees, customers and business partners and maintain the integrity of their assets.
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ibm, mobilefirst, business in motion, mobile enterprise, user interactions, return on engagement, return on investment, roi
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
Improve customer satisfaction, identify trends and make smarter marketing decisions with IBM Social Media Analytics.
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social media, big data, data-driven marketing, marketing analytics, performance analytics, business analytics, metrics, data
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
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.
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ibm, aberdeen group, mid-market analytics, data into insight, business analytics, technology investment, aberdeen sector insight, opportunities for growth
    
IBM
Published By: IBM     Published Date: Feb 14, 2014
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.
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ibm, social media, marketing, crm, customer interaction, digital marketing, digital strategy, customer experience
    
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: Mar 18, 2015
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.
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b2b services, ibm, b2b analytics, b2b reporting, transactional data, trading partner relationships, it management, enterprise applications
    
IBM
Published By: SPSS     Published Date: Jun 30, 2009
This whitepaper makes the case for using predictive analytics as a catalyst for that growth. It includes best practices from several global companies.
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spss, roi, customer interactions, predictive analytics, return on investment, predictive insight, crm, customer relationship management
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
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spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This White Paper provides strategies and tactics for enabling a more innovative, predictive enterprise that maximizes the value of every customer interaction to "get, keep and grow" customers.
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spss, predictive enterprise, retail management, customer interactions, crm, customer relationship management, customer innovation, business analytics
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper makes the case for using predictive analytics as a catalyst for that growth. It includes best practices from several global companies.
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spss, roi, customer interactions, predictive analytics, return on investment, predictive insight, crm, customer relationship management
    
SPSS, Inc.
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.
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riverbed, cascade network performance management, application performance management, application performance issues, end-user experience monitoring, it visibility, deep component monitoring, network infrastructure
    
Riverbed
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.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy, networking
    
Riverbed
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.
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apm, transactions, big data, analytics, performance monitoring, enterprise applications
    
Riverbed
Published By: ForeSee Results     Published Date: Feb 05, 2007
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.
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website analytics, usability, customer satisfaction, foresee, foresee results, analytics
    
ForeSee Results
Published By: IBM     Published Date: Feb 08, 2008
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.
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marketing roi, customer satisfaction, return on marketing investment (romi), chief marketing officer or cmo, customer centricity, customer behavior, multi-channel marketing, marketing strategy
    
IBM
Published By: Yesmail     Published Date: May 13, 2008
Using Web Analytics data to trigger email messages can produce amazing results.  Find out why marketers should be jumping on this opportunity.
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web analytics, yesmail, yes mail, a/b testing
    
Yesmail
Published By: IBM Software     Published Date: Jul 28, 2010
Sales Force Productivity, Sirius Decisions: This brief video looks at the keys to improving overall customer satisfaction by looking at customer behaviors and the insights they provide.
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ibm software, cognos, customer satisfaction, sales force productivity, consumer behavior, sales analytics, performance, marketing and sales
    
IBM Software
Published By: IBM Software     Published Date: Jul 28, 2010
Customer Satisfaction: Deliver More Revenue, Sirius Decisions: This short video explores the issues and the data required to drive better sales enablement, performance and productivity.
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ibm software, cognos, sales force productivity, customer satisfaction, performance, sales analytics
    
IBM Software
Published By: SAS     Published Date: Aug 03, 2016
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.
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best practices, embedding analytics, technology, data, operational analytics, business technology
    
SAS
Published By: SAS     Published Date: Mar 06, 2018
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
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SAS
Published By: MicroStrategy     Published Date: Aug 21, 2019
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.
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MicroStrategy
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