smart analytics

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Published By: IBM     Published Date: Nov 05, 2013
In today’s 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 process—not 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
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Organizations are looking to eliminate data center complexity, sprawl and underutilization. This requires solutions that can boost efficiency and economics, while delivering high-performance capabilities. Read the white paper and see how users and industry analysts alike trust IBM Power Systems to break free from costly and impractical systems.
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it solutions, smart analytics, analytics systems, testimonials, it management, data center
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
In a competitive landscape that favors the fastest and the smartest, financial services firms that invest in building sophisticated insight and predictive analytics will be better positioned to emerge as market leaders.
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ibm, banking, competition, future, financial, services, analytics
    
IBM
Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Published By: IBM     Published Date: Jul 20, 2016
- Learn how the best companies use online assessment analytics to predict candidate performance - Find out about the analytics intelligence used to improve quality of new hires - Learn how assessments can be used to maximize employee breakthrough performance
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ibm, employee engagement, smarter workforce, pre-hire assessments, assessment analytics
    
IBM
Published By: IBM     Published Date: Jul 21, 2016
Watch this webinar and learn how you can: - Hire for leadership behaviors - Identify high potential leaders in your organization - Develop your leadership pipeline
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ibm, employee engagement, smarter workforce, pre-hire assessments, assessment analytics
    
IBM
Published By: IBM     Published Date: Aug 04, 2016
IMM is a full-service digital marketing agency that builds marketing programs that get smarter every day and increase in value over time. Following the concept of Ideas Made Measurable, IMM builds unique and custom results-based programs by leveraging a unique combination of people and technology. Read more to learn how IBM Analytics plays a role in IMM's success.
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ibm, imm, case study, analytics, big data, technology, knowledge management, business technology
    
IBM
Published By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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Q2 eBanking
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
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