predictive analytics

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By: TIBCO     Published Date: Sep 02, 2014
In this Guide you will learn how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, to experienced analysts, to data scientists.
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     TIBCO
By: Akamai Technologies     Published Date: Apr 25, 2018
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered: Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion Slashed average page load speed by half Correlated site performance with sales impact using predictive analytics Established data-driven decision making for increased customer focus and revenue
Tags : lowes, omnichannel, foundation, akamai, digital, performance, management, ecommerce
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 25, 2018
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered: Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion Slashed average page load speed by half Correlated site performance with sales impact using predictive analytics Established data-driven decision making for increased customer focus and revenue
Tags : lowes, omnichannel, foundation, akamai, digital, performance, management, ecommerce
     Akamai Technologies
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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     TIBCO Software APAC
By: IBM     Published Date: Apr 16, 2018
In this on-demand webinar from the Institute of Management Accountants (IMA), Sherri Liao of The Hackett Group and Jim Collins of IBM discuss the steps your organization can take to link financial planning to operational decision making more effectively. You’ll hear about: Simplifying and amplifying reporting Optimizing decision-making: Predictive vs. historical analytics Aligning finance and operations Reporting beyond finance to include cross-functional measures of performance The path to building a World-Class finance organization
Tags : operational planning, financial planning, planning analytics
     IBM
By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
Tags : customer needs, customer experience, customer behavior, customer journey
     Genesys
By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
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     SAP
By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
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     SAP
By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
Tags : financial, optimization, hpe, predictive, analytics
     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Feb 12, 2018
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs. HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
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     Hewlett Packard Enterprise
By: Pentaho     Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources? If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
Tags : pentaho, analytics, platforms, big data, predictive analytics, data management, data science
     Pentaho
By: Pentaho     Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
Tags : pentaho, analytics, platforms, hadoop, big data, predictive analytics, data management, data science
     Pentaho
By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, analytics, platforms, hadoop, big data, predictive analytics, data science
     Pentaho
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