predictive business

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Published By: Cognizant     Published Date: Oct 03, 2017
Impact that situation awareness can have on extended supply chain operations w/focus on logistics companies
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: Cognizant     Published Date: Sep 19, 2017
Focus on creating consistent terminology in order to generate insights from the digital data encircling employees, partners, processes and customers.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: Cognizant     Published Date: Sep 21, 2017
Additional insight on Forbes Research that ends with four “How To Get Started” steps.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: Cognizant     Published Date: Sep 21, 2017
The impact that state-of-the-art simulation and modeling techniques can have on supply chain operations.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: Cisco     Published Date: Sep 20, 2017
Niklas Golve presenterar Spark som plattform och Spark Board. Detta är plattformen som gör företag mer produktiva, sparar tid och resurser.
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platform management, customer relations, platform innovation, product development, predictive management, business innovation
    
Cisco
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business: - Customer satisfaction and retention - More effective HR processes - Fraud and threat detection and prevention - Revenue growth and profitability
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ibm, analytics, predictive analytics, enterprise applications, business technology
    
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 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
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predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies
    
IBM
Published By: iKnowtion     Published Date: Sep 14, 2010
The terms "customer segmentation" and "customer predictive modeling" are often used interchangeably, however, they're very different and support different business objectives. This paper explains why both are required to effectively compete in today's customer-centric marketing landscape.
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crm strategies, customer intelligence, marketing analytics, customer development, marketing effectiveness, iknowtion, segmentation, modeling
    
iKnowtion
Published By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
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ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science
    
IBM
Published By: IBM     Published Date: Jul 14, 2016
IBM SPSS Solutions offer a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end.
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ibm, big data, data analytics, ibm spss, predictive business, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: May 03, 2016
In this report you will learn how to enhance your customer relationships across all your channels and touch points, produce personalized customer offers and learn from real-world case studies across various industries.
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ibm, ibm predictive customer intelligence, business analytics, customer relations, business technology
    
IBM
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