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By: Microsoft Dynamics     Published Date: Jul 03, 2008
Watch this informative webcast as we discuss how the integrated intelligence in Microsoft Dynamics GP and other Microsoft technologies can help improve your company operations by providing business insights to all employees. Learn how you can enable people throughout your organization to make confident, business-critical decisions while minimizing costs.
Tags : business management, decision making, analytics, analytical, reporting, microsoft, microsoft dynamics
     Microsoft Dynamics
By: IBM Software     Published Date: Feb 14, 2011
How the smartest organizations are embedding analytics to transform insights into action.
Tags : ibm cognos, predictive analytics, customer relationship
     IBM Software
By: IBM Software     Published Date: Jan 25, 2012
Business analytics is the means by which organizations optimize business outcomes. Using insights that can be accessed, shared and acted on by employees at every level, organizations can increase profits, reduce costs, manage risk and make more accurate predictions to prepare for future outcomes. Learn why analytics-driven organizations outperform their peers.
Tags : ibm, cognos, business intelligence, technology, analytics, business analytics
     IBM Software
By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
Tags : ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
     IBM Software
By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
Tags : ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
     IBM Software
By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
Tags : ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
     IBM Software
By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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     SAS
By: SAS     Published Date: Oct 18, 2017
With the support of SAS, the Internet of Things Institute developed the 2017 Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics. This selective sample of IoT users offers valuable insights to both IoT innovators and organizations still waiting to see how the technology evolves before investing. Multiple business layers and functions have input into IoT decision making. Discover which layer was most critical to success for those organizations that have achieved the highest percentage of their targeted ROI. Learn about the main drivers of success for IoT users achieving higher returns. Lastly, the results highlight six primary factors that can undermine an IoT initiative and how they can be prevented.
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     SAS
By: IBM     Published Date: Jul 24, 2012
View this brief video to discover how customer analytics provides unique insights on an individual customer level that can help prevent high-value customers from leaving and sell additional services to current customers.
Tags : customer analytics, customer satisfaction, loyalty, ibm, insights, market research
     IBM
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
     IBM
By: IBM     Published Date: Aug 07, 2012
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Tags : predictive customer analytics, ibm, decision management, consumer insight, customer, crm, customer relationship management, retain customer
     IBM
By: IBM     Published Date: Jan 18, 2013
This white paper examines the role social media can play in presenting a more strategic view of customer data.
Tags : analytics, social media, best practices, crm, marketing, marketing software, web analytics, customer experience/engagement
     IBM
By: Adobe     Published Date: Dec 08, 2014
Mobile is more than likely a part of your marketing mix, but chances are, you haven’t defined the metrics you need to measure its success. The Forrester paper, Make the most of analytics to meet your mobile objectives, shares insights from mobile executives and lays out the steps marketers need to take to improve mobile effectiveness.
Tags : mobile objectives, mobile measurements, mobile analytics, mobile effectiveness, emerging marketing, internet marketing, marketing research, data management/analytics
     Adobe
By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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     AWS
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to understand how FINRA leverages Splunk with a variety of AWS services such as Amazon Kinesis Data Firehose and AWS Lambda as the data analytics destination to gain real-time insights for powerful visualizations, comprehensive reporting and meaningful alerts.
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     AWS
By: SwellPath     Published Date: Sep 04, 2012
This guide provides the framework to build a successful analytics foundation in your organization, and shows you how to create an effective analytics measurement program that provides actionable insights and results driven recommendations.
Tags : google analytics, marketing analytics, ecommerce analytics, analytics strategy, web analytics, analytics implementation, google analytics consulting, measurement strategy
     SwellPath
By: Digital Bungalow     Published Date: Feb 09, 2015
Google Analytics is an excellent tool for gaining insights into user behavior and gathering data for site optimization.
Tags : google analytics, site optimization, customer acquisition, consumer behavior, advanced segments, emerging marketing, business intelligence, market research
     Digital Bungalow
By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
Tags : data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics
     IBM
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
By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
Tags : ibm, smarter workforce, talent management, talent analytics
     IBM
By: IBM     Published Date: Mar 28, 2016
Workforce analytics is a very significant development in human resources. It promises the potential for deeper understanding of the ways workers contribute to organizational performance. However, workforce analytics is not just about analyzing data to reveal exciting insights; it also requires the active involvement of a firm’s workers if the potential of analytics is to be fully realized. Without active employee participation, workforce analytics efforts face at best, restricted data sources and data sets that are incomplete and at worst, the risk of damaging employee relations and, ultimately, productivity. This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework. The FORT criteria could prove particularly useful in European countries. This is because the 1995 European Union Data Protection Directive, along with certain local legislative pr
Tags : ibm, ibm smarter workforce institute, work trends, employee engagement
     IBM
By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
Tags : ibm, talent acquisition, talent acquisition technology, human resources, recruiting
     IBM
By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Tags : incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
     Schneider Electric
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.
Tags : business intelligence, business analytic tools, sanjay poonen, information management, enterprise performance management, governance, manufacturing intelligence, sap
     SAP
By: IBM     Published Date: Sep 08, 2015
Please join us for an in-depth discussion of the latest data and analytics capabilities that banks are using today to uncover new customer insight - at the individual level - to improve offers and cross sell, optimize campaigns and deliver profitable revenue. The discussion will explore how leading banks are employing predictive analysis on customer data not often analyzed - like individual transactions, interactions, behavior and social media. See how banks can move beyond traditional segmentation and enable marketing to the "Segment of One."
Tags : banking, finance, customer engagement, analytics, insights, segmentation, small business
     IBM
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