analytics insights

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By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : ibm, customer analytics, customer experience, analytics, data insight, knowledge management, enterprise applications, business technology
     IBM
By: IBM     Published Date: Feb 01, 2017
View this webinar to learn what the experts are saying about the current state of digital analytics and hear why not upgrading is a threat to your business. James McCormack of Forrester will detail what steps you need to take now.
Tags : ibm, commerce, customer experience, digital intelligence, customer analytics, customer insights, enterprise applications, business technology
     IBM
By: IBM     Published Date: Feb 01, 2017
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : ibm, commerce, customer analytics, customer insights, enterprise applications, business technology
     IBM
By: IBM     Published Date: Jul 30, 2014
In this new CFO point of view report, we focus on the perspectives of the 576 CFOs we interviewed.
Tags : ibm, business analytics, business insights, cfo, cfo insights, managing risk, financial management
     IBM
By: IBM     Published Date: Aug 06, 2014
Social media is reshaping the relationships that customers have with products, services and brands. Read this white paper to learn how the right combination of technologies can help you understand emerging consumer trends and increase the ROI of your marketing campaigns.
Tags : ibm, retail, social media, analytics, insights, actionable, relationships, technology
     IBM
By: IBM     Published Date: Aug 06, 2014
In this fact-based retail perspective, you will learn five key steps to start acting on the business insights embedded in your shopper, consumer and supplier interactions.
Tags : ibm, retail, analytics, data, big data, insights, shopper, consumer
     IBM
By: IBM     Published Date: Oct 31, 2014
Social media is reshaping the relationships that customers have with products, services and brands. Read this white paper to learn how the right combination of technologies can help you understand emerging consumer trends and increase the ROI of your marketing campaigns.
Tags : social media analytics, customer satisfation, consumer trands, roi, marketing campaigns
     IBM
By: IBM     Published Date: Jan 16, 2015
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.
Tags : ibm, b2b services reporting, b2b services analytics, trading partner relationships, business decision making, b2b transactions, transactional data, knowledge management
     IBM
By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
     IBM
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.
Tags : analytics, ibm, operational decision manager, operations, brand, data, big data, trends
     IBM
By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications
     IBM
By: IBM     Published Date: Dec 15, 2016
Register today to learn more about this exciting release, its new features, and how you can drive new value for your organization: - Improve customer centricity by engaging individuals at the right time with the right offers - Cut operating costs and reduce fraud by gaining real-time visibility and insights into transactions and business operations - Empower knowledge workers and leverage mobile technologies to create more engaging experiences
Tags : ibm, middleware, operational decisions, odm advanced, enterprise applications
     IBM
By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
Tags : predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
     IBM
By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
Tags : analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
     IBM
By: Polaris Research, Inc     Published Date: Jun 16, 2009
Polaris Research, Inc. is a recognized leader in decomposing historical marketing results to determine ROI across the entire media landscape. Our marketing analytics and insights empower companies to optimize spending levels within and across media channels based on individual elasticity and performance to realize millions of dollars in savings. Learn more today!
Tags : polaris, marketing mix modeling & optimization, mmm&o, roi. return on investment, market events, elasticity, all-media, analytics
     Polaris Research, Inc
By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
Tags : 
     SAS
By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
Tags : 
     SAS
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
Tags : 
     SAS
By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
Tags : 
     SAS
By: IBM     Published Date: Oct 15, 2013
How behavioral analytics fuels more personalized marketing
Tags : increasing marketing value, improve returns, optimize websites, personalized marketing, web analytics, provide specific insights, personalization process, web marketers
     IBM
By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, analytics, global business service, big data, business value, it professionals, volume, velocity
     IBM
By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
Tags : ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud
     IBM
By: IBM     Published Date: Mar 05, 2014
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
Tags : ibm, ibm big data big data, information management, data management, big data technology, business analytics, insights, acceleration
     IBM
By: IBM     Published Date: Jul 07, 2014
In this report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
Tags : ibm, big data, analytics, power systems, business value, business insights, ibm power systems
     IBM
By: Clicktale     Published Date: Oct 14, 2015
As marketers, we rely on metrics to measure our success or failure. But how effective are traditional analytics? When metrics can’t see beyond the mouse click, how can we understand what the people behind the screen are experiencing? How can we know what happened before the click, or what happens after? ClickTale’s newest eBook will show you how Digital Customer Experience metrics help you look past the numbers, and understand what your customers and visitors are really experiencing on your website. Download Digital Customer Experience Metrics: Uncovering the Behavior behind the Numbers now, and start turning metrics into actionable understanding!
Tags : engagement metrics, engagement optimization, website optimization, web analytics, website analytics, website engagement, user experience, user interface
     Clicktale
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