decision making

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By: IBM     Published Date: Apr 09, 2015
Reducing costs is still a primary reason companies turn to Software as a Service (SaaS). But those at the front of the pack, like cloud leaders in general, are discovering how SaaS can help them achieve a much broader and more strategic goal—unlocking competitive advantage. These cloud leaders, called Pacesetters, are finding the reduced TCO is only the beginning of advantages offered by SaaS. Read this paper to learn how and why reducing TCO is just the beginning of the benefits offered by SaaS.
Tags : ibm, software as a service, saas, competitive advantage, team strategy, strategic partnerships, collaboration, efficiency, pacesetters, decision making, market agility, software development, knowledge management, enterprise applications, business technology
     IBM
By: IBM     Published Date: May 28, 2015
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making.
Tags : decision management, operation decisions, odm, collaboration, ensure security
     IBM
By: IBM     Published Date: Jun 09, 2015
In this webcast we will explore how you can deliver services and improve outcomes for your citizens through cross program care coordination and collaboration. This coordination and collaboration is enabled by the extensive use of data, resources and a single view of the citizen which in turn helps improve decision-making, problem-solving and program implementation.
Tags : ibm, coordination, collaboration, data, resources, government, high risk-populations, examples, implementation, decision-making
     IBM
By: IBM     Published Date: Jul 23, 2015
This white paper explains how predictive analytics can be used in education to improve student retention and includes IBM SPSS case studies.
Tags : data-driven decision-making, student life cycle, predictive analytics, higher education, student retention, data analytics, ibm spss
     IBM
By: IBM     Published Date: Jan 20, 2016
CFOs must find new ways to drive enterprise agility, enhance decision-making and promote growth, all while ensuring traditional tasks run smoothly.
Tags : ibm, cfo, enterprise, agility, enterprise applications, business technology
     IBM
By: IBM     Published Date: Feb 04, 2016
Disruptors are reinventing business processes and leading their industries with digital transformations. Learn more about personalized front-line decision making, real time insight driven processes, and ecosystem-based innovation.
Tags : ibm, middleware, solutions, digital, security, cyber threats, business technology
     IBM
By: IBM     Published Date: Mar 28, 2016
Five years ago in a Harvard Business Review article on how companies leveraged HR analytics for competitive advantage, my co-authors and I found only a small handful of companies to interview. Today, life is very different. Interest in analytics and storytelling through data in HR is booming. But, HR as a whole is still learning how to set up an effective analytics function. That is why I welcome this report. The first 100 days of any effort is critical to success. Analytics is no different. Lead authors of this report and the people they have interviewed have sat in analytics roles in HR. They’ve learned a lot about what works and what doesn’t. Here’s an opportunity to learn from those who have already undertaken this particular journey. They know that to succeed in analytics one needs to: • Focus on business priorities • Leverage your analytics through storytelling • Use analytics to help inform decision making, not as a substitute • Understand that perfect data isn’t required for a
Tags : ibm, workforce analytics, ibm smarter workforce institute, human resource technology
     IBM
By: IBM     Published Date: Mar 31, 2016
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience Attend to also learn how to: Provide business users with real-time information for more informed decision making Leverage the latest cloud, mobile, and analytics enhancements in IIB v10 Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions Who Should Attend this Webcast: business audience"
Tags : ibm, api, integration, application program interface, middleware
     IBM
By: IBM     Published Date: Apr 06, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
Tags : ibm, big data, data security, risk management, security
     IBM
By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
Tags : ibm, smarter process, operational decision management, odm, knowledge management, enterprise applications, business technology
     IBM
By: IBM     Published Date: Apr 15, 2016
As business grows more digital, the hunger for faster, more adaptive delivery of BI and analytics will increase. Read this Gartner paper and see how to give your business what it needs.
Tags : ibm, business analytics, business intelligence, agile, decision making, business technology
     IBM
By: IBM     Published Date: Apr 15, 2016
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
Tags : ibm, business analytics, business intelligence, agile, decision making, big data, business technology
     IBM
By: IBM     Published Date: Apr 20, 2016
Weather Means Business: Enabling transformative decision-making with precise weather data for energy and utilities, insurance, retailing and the public sector Weather has a profound and widespread influence on business. We are all vulnerable to unforeseen weather events, and the inability to manage weather-related risk can limit business success, thwart economic development and threaten public safety. This whitepaper discusses the uses cases for weather data for various industries, including government, insurance, retail and energy and utilities.
Tags : ibm, ibm analytics, insurance, weather, weather data
     IBM
By: IBM     Published Date: Jul 15, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
Tags : ibm, data, security, big data, data management
     IBM
By: IBM     Published Date: Jul 22, 2016
Read this Forrester report to learn how digital intelligence can help you combine insights from existing, new and emerging channels to drive timely, customer-obsessed decision-making. Get an up-close look at the disruptive nature of digital intelligence technology and find out how to continuously improve customer engagement.
Tags : ibm, commerce, customer analytics, customer experience, digital intelligence, forrester, knowledge management, enterprise applications
     IBM
By: IBM     Published Date: Jul 29, 2016
Read this Forrester report to learn how digital intelligence can help you combine insights from existing, new and emerging channels to drive timely, customer-obsessed decision-making. Get an up-close look at the disruptive nature of digital intelligence technology and find out how to continuously improve customer engagement.
Tags : ibm, commerce, cx experience, digital intelligence, customer engagement, enterprise applications, business technology
     IBM
By: IBM     Published Date: Oct 13, 2016
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
Tags : big data, operational decision making, transaction data, it management, data management, data center
     IBM
By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
Tags : ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
     IBM
By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
Tags : 
     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: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Tags : data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
     IBM
By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Tags : cloud-based data, data quality, data management, hybrid environment, decision making
     IBM
By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     IBM
By: IBM     Published Date: Jun 21, 2017
This report is designed to help you make an informed decision about IBM Cloudant. It is based on 22 ratings and 21 in-depth user reviews of Cloudant on TrustRadius, the trusted user review site for business software. By crowd-sourcing user perspectives, we help you to get a true sense of the product. This report includes analysis of the types of customers (company sizes, industries etc.) that use Cloudant, what companies and users like most about the product, as well as areas for improvement
Tags : ibm, ibm cloudant, demographic, cloud computing, decision making
     IBM
By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
Tags : ibm, infosphere, data replication, security, data storage
     IBM
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