decision making

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Published 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.
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ibm, ibm analytics, insurance, weather, weather data
    
IBM
Published 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.
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ibm, data, security, big data
    
IBM
Published 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.
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ibm, commerce, customer analytics, customer experience, digital intelligence, forrester
    
IBM
Published 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.
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ibm, commerce, cx experience, digital intelligence, customer engagement
    
IBM
Published 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!
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big data, operational decision making, transaction data
    
IBM
Published 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
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM
Published 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.
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IBM
Published 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.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published 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.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
Published 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.
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cloud-based data, data quality, data management, hybrid environment, decision making
    
IBM
Published 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.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published 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
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ibm, ibm cloudant, demographic, cloud computing, decision making
    
IBM
Published 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
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: IBM     Published Date: Aug 23, 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.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
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. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centricity,
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IBM
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted? Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centrici
Tags : 
    
IBM
Published By: IBM     Published Date: Oct 19, 2017
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making. Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted?
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cloud computing, digital economy, digital disruption, business operations
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Ironically, the most important business decisions are too often based not on the best available data and analysis, but on the judgment calls of HIPPOs — the highest-paid people in the organization. In large part, these individuals became HIPPOs in the first place because, over the course of their professional careers, their intuition and gut feel has tended to be more right than wrong. This approach may have sufficed in simpler, slower-moving times. But modern enterprises are too connected and too fast-paced for important business decisions to be made strictly on individual intuition and gut feel. For better-informed decision-making, your organization’s decision-makers need timely access to information they can rely on.
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hippo, ibm, decision-makers, modern enterprise
    
IBM
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: IBM     Published Date: May 23, 2018
Learn how to get started creating timelier, more reliable financial and operational plans, analyses and forecasts.
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planning analytics, financial decision making, operational plans, forecasting
    
IBM
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: IBM ILOG.     Published Date: Jul 14, 2009
How-to vidoes explain the inner workings of JRules and BRMS, from writing rules to invoking decision services.  Become an instant expert!
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ibm, jrules, brms, video, rules, decision making, services, systems, control, data, customer, customer service
    
IBM ILOG.
Published By: IBM ILOG.     Published Date: Dec 11, 2009
Learn how the WebSphere ILOG JRules Business Rules Management System (JRules BRMS) can automate decision making for data validation, eligibility and pricing in a real-world scenario. This demo shows how JRules BRMS allows organizations to gain a competitive advantage by adapting business systems to evolve with changing business policies and decisions. Click to view this demo!
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ibm ilog, brm, business rule management system, jrules, websphere, author, deploy rules, business rules management
    
IBM ILOG.
Published By: IBM Software     Published Date: Oct 21, 2010
Key finding and recommendations on what business intelligence leaders need to consider in order to support collaborative decision making within their organization.
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ibm cognos, collaborative decision making, business intelligence, knowledge workers, best practice
    
IBM Software
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