decision analytics

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Published By: SAS     Published Date: May 24, 2018
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability. I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
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SAS
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: ttec     Published Date: Jul 24, 2019
Let’s face it: in today’s B2B landscape, the buyers call the shots. Buyers today are proactive, research their own options, and often include many decision makers rather than just one who can be wooed on a golf course or over dinner. So, where does that leave the salesperson? To succeed in this new landscape, sales professionals must understand how the buyer’s journey has changed and unlock the advantages that data analytics and statistical modeling can offer. Sales and marketing teams must also learn how to align their efforts to present a truly coordinated experience. Read this paper to learn how to take advantage of untapped opportunities for helping sales teams evolve in today’s buyer-empowered landscape.
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ttec
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
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.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: FICO EMEA     Published Date: Feb 11, 2019
The automotive leasing and financing industry is facing its most competitive times. Market disruptors are moving quickly, leveraging technology to provide polished and high-value customer experiences to lure business away from more traditional lenders. However, the use of smart technology and automated credit decisioning can enable auto lenders to make accurate lending decisions and gain a competitive edge. Learn how you can: • Issue accurate and immediate credit financing decisions at the point of sale • Reduce delinquencies and credit losses • Grow your lending portfolio • Create winning offers using data and analytics • Speed up credit decisions to prospects and stay competitive • Use smart analytics to enhance the customer service experience Download the case study round up Digital Transformation for Automotive Finance to learn how you can transform your business.
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collections treatment optimisation, customer retention, lending decision, collection optimisation, debt managemen, auto leasing financing, automated credit decisioning
    
FICO EMEA
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 12, 2017
Deep-dive analytics tools have completely transformed the way many organizations do business—helping remove the guesswork from major areas of operations, and provide everybody with the clear, actionable answers they need to make informed business decisions. The benefits of sophisticated analytics are being reaped across the business. But according to Deloitte, HR is lagging behind— with only 14 percent of companies using analytics in HR, compared to 77 percent using these tools in Operations1.
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human resources, employee engagement, talent management
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: IBM     Published Date: Sep 27, 2013
While more and more enterprises are using analytics to guide their decision-making processes, most midsize businesses continue to rely on old-fashioned decision-making techniques like trial and error. The reason for this is simple: advanced analytics solutions can be very complex and expensive to implement, leading midmarket businesses to assume that the benefits of analytics are beyond their reach. IBM has created a new analytics solution that is designed specifically with the needs of midmarket businesses in mind. The solution, IBM Analytic Answers, gives midmarket businesses the opportunity to take advantage of a sophisticated analytics platform, backed by IBM expertise, while also staying within their budgets.
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frost & sullivan, ibm, ibm analytics, ibm analytic answers, business analytics, midsize business, analytics solution, advanced analytics
    
IBM
Published By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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analytics, ibm, operational decision manager, operations, brand, data, big data, trends
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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ibm, odm, operational, decision, maker, analytics, update, v8.7, decisions, data, scope, scale, speed, context
    
IBM
Published By: IBM     Published Date: Mar 31, 2016
"Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action. "
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ibm, ibm operational decision manager, ibm odm advanced, process improvement, business analytics, business insights
    
IBM
Published By: IBM     Published Date: Jul 07, 2016
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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ibm, odm, middleware, ibm operational decision manager, application services
    
IBM
Published By: iKnowtion     Published Date: Nov 17, 2011
Learn how predictive models can improve call volume forecasting. The models provide information about how various independent factors, such as advertising, affect call volume in the short and medium term.
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customer intelligence, predictive modeling, forecasting, call volume, marketing analytics, iknowtion
    
iKnowtion
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAP     Published Date: Jul 17, 2012
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story. The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making. Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders. Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
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sap, best practices, business intelligence, analytics strategy, technology
    
SAP
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to JD Edwards” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s view on how to get better reporting and analytics from ERP and other critical data sources How Bibby Distribution gave users throughout the company the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to Oracle EBS” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s take on how to get better reporting and analytics from ERP and other critical data sources How Finance and IT leaders at Ladbrokes replaced Oracle reports and quit having to manipulate data in static spreadsheets
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Insight Software
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: Oracle Corporation     Published Date: May 11, 2012
This white paper describes how to build a better business case for BI, by understanding the level of ambition organizations can have and the layers in the business case that should contribute to that level of ambition.
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oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision, analytics, functional, flow, manage, customers
    
Oracle Corporation
Published By: RedPoint Global     Published Date: May 11, 2017
Practical perspectives on leveraging data to grow sales, cut costs, up-sell more effectively and make better decisions. Marketers overwhelmingly agree they have access to more than enough data. The problem is finding actionable ways to utilize data that is collected across all customer interaction points to better engage with customer and increase lifetime customer value. This white paper explores the relevance of big data for marketers: what they need to know and the steps they should take today to embrace data and analytics to position their organizations for success today.
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customer retention, customer experience, real-time personalization, customer insights
    
RedPoint Global
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