operational analytics

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Published By: IBM     Published Date: Nov 09, 2012
This paper describes what operational analytics is and what it offers to the business. We explore its relationship to business intelligence (BI) and see how traditional data warehouse architectures struggle to support it.
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ibm, db2 analytics acclerator, analytics integration, business intelligence, enterprise applications, data management
    
IBM
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, business management
    
SAP
Published By: Optum     Published Date: Apr 26, 2017
Identify the strategies and steps health providers can employ to operationalize and optimize analytics within their organization to improve clinical and financial outcomes under value-based business models.
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analytics, population health, value-based care
    
Optum
Published By: IBM     Published Date: Feb 03, 2015
Find out how banks are increasing customer profitability, improving operational efficiency and managing risk more effectively with IBM Business Analytics software.
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customer profitability, operational efficiency, business analytics, banking, risk management, security, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care
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healthcare analytics, data blueprint, enterprise analytics systems, sustainable healthcare systems, mission-critical analysis, integrated data model, operational analytics
    
IBM
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data including big data to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics, best practices, business intelligence
    
SAS
Published By: IBM     Published Date: Mar 04, 2014
In todays mobile, connected era, customers expect perfection from their service providers. With competitors only a click (or tap) away, companies have a strong incentive to deliver flawless operations. Online retailers have set a high bar in the way that they engage customers throughout the entire sales processnot just during the commercial transaction, but before, during and after the transaction. Can your insurance company meet the challenge?
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smarter process approach, agility, business process management, bpm, insurance, case management, operational decision management, analytics, process automation, content management system, corporate portals, document management, information management, records management, search and retrieval
    
IBM
Published By: IBM     Published Date: Nov 12, 2013
In todays mobile, connected era, customers expect perfection from their service providers. With competitors only a click (or tap) away, companies have a strong incentive to deliver flawless operations. Online retailers have set a high bar in the way that they engage customers throughout the entire sales processnot just during the commercial transaction, but before, during and after the transaction. Can your insurance company meet the challenge?
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smarter process approach, agility, business process management, bpm, insurance, case management, operational decision management, analytics, process automation, content management system, corporate portals, document management, information management, records management, search and retrieval
    
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, business activity monitoring, business analytics, business intelligence, business management
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Group M_IBM Q2'19     Published Date: May 21, 2019
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both. ODM not only allows you to automate your business rules, but also it enables you to apply 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. It ensures that youre making the right decisions at the right time, when it can make a difference. What can this mean for your business? Adopting operational decision management can: Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
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Group M_IBM Q2'19
Published By: SAS     Published Date: Aug 13, 2018
You may know some data management basics, but are you aware of the transformational results that can result from doing data management right? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
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SAS
Published 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
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SAS
Published By: IBM     Published Date: Apr 04, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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geeknet, business analytics, midsize businesses, challenges, benefits, business intelligence
    
IBM
Published By: IBM     Published Date: Apr 10, 2013
Read how your organization can maximize the value of analytics by moving beyond a focus on customers to drive excellence in operations.
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driving, operational, business, analytics, organization, value
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, geeknet, business analytics, analytics, midsize businesses, business intelligence, it management, data management
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data, it managers, implementing analytics, ba systems, ba solutions, in-house analytics, ba capability, scorecarding, time-to-insight, business risk, business planning, data management, it spending
    
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, business integration, business intelligence, business process automation, business process management
    
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, networking, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
Read how your organization can maximize the value of analytics by moving beyond a focus on customers to drive excellence in operations.
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supply chain, decision management solutions, business analytics, operational excellence
    
IBM
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didnt sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas information evolution model
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: Riverbed     Published Date: Sep 05, 2014
As enterprises have embraced IT trends like cloud computing and virtualization, their operational needs have evolved to make application performance more important than ever before. But operating applications at peak performance is challenging in the cloud. That's why many enterprise IT departments now have Applications Operations groups tasked with ensuring that applications run efficiently across these complex IT stacks. But, most tools designed to address these application performance management (APM) issues were never designed for this dynamic environment. To achieve smooth delivery of applications at all times, Applications Operations groups need APM solutions that can give them insight and analytics to manage their apps. This SlashGuide gives IT managers a scorecard to identify APM solutions that will deliver more efficient application performance.
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apm, applications, operations, enterprise, stacks, dynamic, application performance management
    
Riverbed
Published By: IBM     Published Date: Sep 10, 2013
This white paper will discuss how big data analytics, coupled with the right facilities and asset management software, can provide next-generation opportunities to improve facilities and asset management processes and reutnrs. It will examine how different organizations successfully use big data generated by their facilities and assets to help increase revenue, power operational efficiency, ensure service availability and mitigate risk. Most importantly, this white paper will reveal how your organization can leverage big data analytics to achieve similar benefits and transform the management of your organization's facilities and assets-and ultimately, your business.
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big data, smarter infrastructures, big data, ibm, power operational, leverage big data, analytics, harnessing the power of data, security, enterprise applications, data management
    
IBM
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