With customer analytics-including predictive analytics, social analytics, business intelligence, and decision management-companies are empowered to improve the customer experience and maximize business outcomes by being proactive, rather than reactive. Comments made in social channels about a perceived problem with a checkout tool on a company's website, for example, can alert company decision-makers about a potential issue before it hits the contact center.
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
While economic recovery is clearly in process, your capital and operational budgets are still extremely tight. At the same time, your maintenance organization is being pressured to take a stance of zero tolerance toward safety incidents while reducing maintenance costs and minimizing asset downtime. Read this in-depth Aberdeen Group report, based on responses from 117 executives of successful companies, to find out how best-in-class businesses are proactively managing these challenges. You'll learn these techniques for optimizing maintenance and operations-and more: creating a culture of collaboration among teams across your enterprise; empowering decision makers with appropriate, highly accurate metrics; and leveraging predictive management and analytics to manage assets throughout their life cycle.
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making making marketing challenging. Learn more about the decision to match the right message to customer.
Many of the latest initiatives in the IT world are focused around aligning IT resources more closely with business users and solution needs. In this white paper, learn to make better business decisions with flexible, automated business rules.
Read this white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business.
Download this white paper to learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
Read this excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems.
Overlooking how an application fits into your overall IT landscape can lead to costly implementations. But addressing data management with middleware solutions that work seamlessly with existing applications in your company's IT environment can lead to significant benefits. Explore the value of technology decisions that support and maintain infrastructure-wide interoperability with regard to your data management solutions.
There is growing evidence that more pervasive BI and analytics have a direct impact on competitiveness. Better decision making is more important when resources become restricted during a recession, so BI and analytics projects will still appeal to management. However, justifying large capital outlays for software will be challenging unless short-term benefits can be directly correlated with the investment. As more incremental projects are undertaken, it will be important to execute these projects within the long-term strategic plan of organization wide decision management. Read an active Q&A session with Dan Vesset, IDC Program Vice President of Business Analytics on building a successful enterprise BI strategy.
As organizations look for more ways to increase productivity and profitability, human resources departments are being asked to provide more strategic input to executives. Doing so requires tools that improve access to timely, accurate information for enhanced business decision making. If you don’t have a human resource management system (HRMS), HR can end up spending too much time on repetitive day-to-day tasks like paperwork while struggling to deliver meaningful workforce insights. The right HR management software can help the HR team increase control over employee data, optimize productivity, and take employee engagement to the next level, so you can deliver the future workforce your organization needs to succeed. This white paper discusses the five areas to keep in mind when evaluating solutions to find an HRMS that’s a good fit for your business.
The role and purpose of IT in an organization is undergoing significant change, driven by the need for businesses to become more agile and have greater control over cost levers when using technology. This transformation of IT involves many different aspects, not all of which are technology-related, but the one thing they all share is that IT modernization is about making changes to meet the current and future demands of business. This report provides a side-by-side comparison of leading virtualization and cloud management solutions, looking at IT modernization from a data center infrastructure perspective, with the findings delivered as the Ovum Decision Matrix (ODM). It considers the significance of management in the virtualization and cloud environments and how this influences the way in which technology is deployed, used, and controlled.
Published By: DocuSign
Published Date: Mar 23, 2016
The research study highlights include:
• More than 80% of interviewed decision makers noted a clear or pressing need for Digital Transaction Management (DTM) solution
• 98% of companies reported revenue impact from poor transaction management
• 37% of companies estimating revenue loss to be 11% to 25%
400 business leaders from around the world weighed in. All with responsibilities for document-intensive business processes and selecting and managing transactional technologies. This study reveals what’s keeping them up at night.
According to SiriusDecisions, 79% of companies miss their forecast by 10% or more. Pipeline management is often mismanaged and sales forecasting often off-base.
Getting accurate and reliable information about the state of the deals in your pipeline is the key to a happy sales force.
Accurate pipeline information also is the foundation of predictable and reliable sales forecasts. Wouldn’t a sales forecast that’s right all of the time be a boon to your organization?
Download our new eBook “Pipeline Management and Forecasting are Key to Improving the Sales Experience” to find out how automated tools, AI, and clean data sets can help you as a sales manager to:
? Eliminate the mid-pipeline “black hole” and find out what’s really going on
? Use signals outside of your CRM to get scarily accurate deal opportunity scores and quarterly forecasts.
? Help align the customer journey with your sales process and get happy customers and happy sales reps
Innovation in business mobility is adding up to opportunity for the enterprise— opportunity to accelerate employee productivity, increase collaboration, and streamline business processes through mobile applications. At the same time, IT organizations are keen to control costs and maintain safeguards around their
corporate information. With the goal of striking a balance between opportunity and control, increasing numbers of IT decision makers are adopting enterprise mobility management (EMM) solutions.
But how do you know your organization is poised to make the move to EMM, or if you should be leveraging more from an existing EMM solution? Here are five cues to consider that the time is right to adopt EMM for your organization.
As more companies seek out performance management capabilities to gain a competitive advantage or keep pace with rivals who have already established an edge, the decision to build or buy a performance management solution must be considered. This paper will walk readers through the pros and cons of the build versus buy debate in order to help make practical business decisions for long-term success.
In this free 15-minute podcast, Laura Ramos of Forrester Research explains how B2B marketers can leverage Web 2.0. Listen at your desk or on the road and discover: how to enhance marketing ROI by driving real engagement and dialog ... how to reach key decision-makers ... reasons behind the move from demand generation toward more organic demand management ... and more. Understanding Web 2.0 tactics is a must for B2B marketers who want to compete. Find out why; listen to this free podcast now.
Published By: IBM ILOG.
Published Date: Jul 14, 2009
Has your organization run into difficulties adapting to evolving business conditions? Is there interest in being able to increase the efficiency of your operational processes? Are your business experts looking to more easily control the decisions within mission-critical systems? If you have answered 'yes' to any of the above, you may benefit from integrating a Business Rules Management System (BRMS) into your organization's overall enterprise architecture. Learn more today!
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
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data.
Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data.
Continue on to gain insight into:
•3 key big data management activities you need to consider
•Technologies you need to create for your big data ecosystem
•A multi-dimensional view of the customer is the holy grail of individualization
•Overcoming key integration challenges
JSJ Corporation realized they had a problem: their performance management process. And sticking with the familiar, time-consuming spreadsheets wasn’t helping them drive long-term talent decisions.
The solution? A performance management system that would simplify the process and drive long-term success.