predictive

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Published 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
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operational planning, financial planning, planning analytics
    
IBM
Published By: TIBCO Software     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software
Published By: TIBCO Software     Published Date: Aug 02, 2019
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively. TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models. In this webinar you will learn: Why a fraud management platform is necessary How to gain an understanding of the components of a fraud management platform The benefits of implementing a fraud management platform How the TIBCO platform has helped other companies Unable to attend live? We got you. Register anyway and receive the recording after the event.
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TIBCO Software
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Sierra Wireless     Published Date: Jun 19, 2019
By simplifying the ability of companies to securely extract, orchestrate and act on data from when it is generated by energy assets to when it is transmitted to the cloud, Octave simplifies the development and commercialization of Energy IoT applications. With Octave, energy companies are empowered to realize the Energy IoT’s tremendous potential, with new demand response, energy efficiency optimization, predictive maintenance and other applications that maximize the value created by energy assets and minimize their environmental impact. In doing so, these Energy IoT applications can reduce energy costs, improve customer engagement, lower greenhouse gas emissions and increase energy reliability. Start with Sierra to learn more about how our Octave D2C data orchestration solution can help you bring to market Energy IoT applications that reimagine the future of energy.
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Sierra Wireless
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
Published By: BMC ESM     Published Date: Aug 20, 2009
There is a natural progression from reactive to proactive, and ultimately predictive technology, and this progression corresponds to the maturity level of your IT organization and the tools you leverage.
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bmc, predictive technology, tools, it tools, itil, predictive intelligence, dynamic thresholding
    
BMC ESM
Published By: BMC ESM     Published Date: Aug 20, 2009
See the highlights of BMC’s Application Performance and Analytics; a predictive, resourceful and intelligent solution that empowers IT Operations to reduce mean time to repair (MTTR), avoid problems with early warning, find problems faster using fewer resources, ensure applications meet business requirements and put the right person on the right problem, every time.
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bmc, application performance and analytics, it operations, mttr, mean time to repair, data center
    
BMC ESM
Published By: SAS     Published Date: Apr 21, 2015
High-performing organizations leverage the power of analytics by channeling their efforts in four areas: focus, adopt, adapt, and activate. These companies have embraced a new paradigm that promotes agility, fast execution, and lasting organizational change.
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SAS
Published By: SAS     Published Date: Apr 21, 2015
Exploring predictive analytics for the first time? Malene Haxholdt, global marketing manager for business analytics at SAS, explains what you need to know to get started.
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SAS
Published By: Epicor     Published Date: Jul 18, 2017
Big-box retailers often have the resources, product variety, and name recognition to get ahead of smaller competitors. However, small and midsize businesses are able to crush the big-box stores where it matters most—the customer experience. Whether by design, geography, or as a matter of principle, small and midsize retailers are closer to their customers and are able to engage them on a level that big-box stores simply cannot. This closeness—combined with the right retail management system—allows smaller business to deliver a superior shopping experience with: • Special orders • Predictive inventory analysis • Digital, mobile channels and device integration This white paper—written by Innovative Retail Technologies and sponsored by Epicor—explains how the right software solution leads to a more agile retail strategy, which then leads to a better experience for your customers.
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retail store software, retail sales software, retail saas, business retail software, epicor eagle, benefits of epicor eagle, benefits of retail pos, advantages of retail saas, advantages of retail store software
    
Epicor
Published By: Epicor     Published Date: Jan 09, 2018
Successful financial management really comes down to providing employees with the tools they need to make the most informed decisions at any given time. Accurate forecasts, budgets, and plans lead to smarter investments. In this Aberdeen research report, top performers are found to provide their employees with the tools that enable success, in addition to exhibiting the following characteristics: • Predictive • Informed • Efficient • Agile Download the report to find out how Epicor enterprise resource planning (ERP) solutions can help you improve your processes and turn your manufacturing business into a financial planning, budgeting, and forecasting leader.
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enterprise resource planning (erp), financial management, manufacturing, budgeting, forecasting
    
Epicor
Published By: HP     Published Date: Nov 05, 2014
HP Proactive Care helps prevent problems and stabilize IT by utilizing secure, realtime, predictive analytics and proactive consultations when your products are connected to HP. Benefits include: • Problem prevention • Predictive analytics for proactive reports • Personalized consultation with a Technical Account Manager • Rapid access to advanced technical experts Download this customer brief now.
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proactive care, it stability, problem protection, reduce risks, prevent it issues, care service, gen9, customer brief
    
HP
Published By: BMC Software     Published Date: Jul 22, 2015
In this white paper, you’ll discover an enterprise approach to Big Data that leverages workload automation to: - Integrate Hadoop workflows into your enterprise processes to deliver new applications faster - Resolve issues faster with predictive analytics, automated alerts, and early problem detection - Achieve compliance and governance adherence
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big data, business processes, enterprise systems, hadoop, compliance
    
BMC Software
Published By: FICO     Published Date: Feb 06, 2017
FICO is helping the bank construct the most predictive and effective expected loss models possible and is also helping it assess risk impact across portfolios
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FICO
Published By: BlackLine     Published Date: Aug 06, 2018
The biotechnology and pharmaceutical industry is among the most heavily regulated industries in the world, challenged by evolving regulations, complex compliance requirements and close regulatory scrutiny. At the same time, companies must address the market pressures of globalization, the use of predictive data analytics and digital technologies, and the industry’s ongoing consolidation. In this challenging environment, confidence in internal controls is crucial.
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BlackLine
Published By: BlackLine     Published Date: Aug 06, 2018
The capacity to be anticipatory (aware, predictive and adaptive) of emerging technology and trends in business, demographics, and the social environment impacting your organization and industry. It is crucial to be #FutureReady
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BlackLine
Published By: Genesys     Published Date: Jun 13, 2018
When building artificial intelligence (AI) into your business strategy, it’s easy to become distracted by all the new technologies on the market—each one promising a better customer experience. Make decisions based on facts, not misconceptions. When you evaluate AI technologies, consider these facts: • Bots working with human agents enables a seamless customer journey • Automated self-service costs as little as 20 cents per interaction • A single platform makes it easier to deliver personalized, proactive and predictive experiences See how AI connects customer conversations in this new analyst guide, 2017 ContactBabel Inner Circle Guide to Self-Services.
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artificial intelligence, customer experience, customer journey, self-servic e, personalization
    
Genesys
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Predictive analytics is on the verge of widespread adoption as enterprises become more interested in deploying predictive capabilities. In fact, a recent 2017 TDWI education survey, ranked predictive analytics the top analytics-related topic respondents wanted to learn about. The TDWI Navigator Report- Predictive Analytics provides a comprehensive overview of the state of the predictive analytics market. Download this report to better understand: Opportunities and obstacles of implementing predictive analytics Market forces and trends driving the adoption of predictive analytics Features and market landscapes that define predictive analytics Download this report today to get a better sense on how your organization can take advantage of predictive analytics to drive change in your business.
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Alteryx, Inc.
Published By: IBM Watson Health     Published Date: Sep 29, 2017
In the world of value-based healthcare, your data is the key to extracting the most actionable insights that provide real value to your organization. But getting to those insights can prove difficult, especially if you have to connect disparate data sources. You need transparency into key insights that can help your team make more informed decisions for the success of your organization. In this listicle, we explore five ways an analytics solution can help you transform your organization through the power of insight. From risk modeling to predictive analytics, utilizing the right mix of analytics can improve patient outcomes and ultimately move your organization closer to your ideal value-based care model
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value-based care, analytics, insights, data, business intelligence, ehr, fee-for-service, cognitive, predictive, outcomes, infrastructure
    
IBM Watson Health
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