quality

IBM® i2® Analyst’s Notebook® provides rich visual analysis capabilities that help to quickly turn complex sets of disparate information into high-quality, actionable intelligence. It is designed to help analysts, and others involved in intelligence analysis, identify, predict, and prevent criminal, terrorist and fraudulent activities.

What if the cloud could radically improve your customer’s experience, your operations, and your bottom line? There’s a reason why many organizations are taking advantage of the benefits of cloud for contact centers. This eBook, focuses on two profiles for small contact centers, small business and small of large - a small contact center that is part of a much larger enterprise. Get key insights from independent market research that will help you make a case to take your customer communications platform to the cloud. With the right solution, your business can benefit from enterprise-quality capabilities at a price you can afford. And you can realize a return on investment in as little as three months! Download this eBook and learn: • How to calculate ROI and time-to-value in different types of small contact center profiles • What factors to consider when selecting a cloud vendor • Three common myths about the cloud

The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.

This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.

Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.

DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en

Welcome to Continuous Testing For Dummies, IBM Limited Edition. We hope you find this material helpful as you begin or continue your journey toward higher quality software and faster delivery. Successful companies are honing their software development approach to be as efficient as possible. This allows the software development, testing, and ops teams to spend their time on innovation instead of rework and manual, error-prone tasks.

The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.

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.

Population health initiatives are helping to lower healthcare costs and improve quality. As a result, 85% of hospitals reported strong or total commitment to population health. This year, hospital readmissions should be a top priority.

Healthcare technologies have proven their worth for practitioners and facilities in increasing the quality of patient care while saving time and streamlining operations. In some cases, however, the benefits of these technologies are outweighed by their impact on the network, slowing network performance sometimes to the point of ineffectiveness.Software-defined networking can be the bridge to help healthcare providers update their networks and avoid disruption. SDN helps organizations save money on networking infrastructure, reduces the complexity of managing networks, enhances security through added intelligence and simplifies compliance, among other benefits.

Most population health management strategies include initiatives to improve clinical outcomes and decrease the cost of care. Read this one-page interview with Dr. Tina Moen, Deputy Chief Health Officer at IBM Watson Health, as she shares the benefits and insights of collaborative medication management, including incorporating pharmacists in population health strategies.

1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee

1. Meet the new healthcare consumer The consumerization of healthcare, major demographic shifts, and the migration to mobile and social media are tilting the balance of power away from traditional healthcare marketers and into the hands of potential patients. 2. Online reputation is the new competitive frontier for marketers Healthcare brands are no longer controlled by marketers. Patient feedback about doctors and facilities online is leading to total market transparency for healthcare consumers. CG-CAHPS surveys only go so far in providing social proof. 3. Healthcare branding is becoming hyper-local In the search for providers, all branding is local – at the level of individual practitioners and facilities. Proliferating points of presence on the web make this a challenge that requires technology. But healthcare marketers who scale online review volume and quality will be rewarded with higher search visibility. 4. Business implications Online ratings and reviews stand between everyth

Over the past few years, terms such as: ‘Modern Finance,’ ‘Continuous Accounting’ and ‘Robotic Process Automation’ have all created buzz across the finance industry. These have been launched as a response to the challenges facing finance around attracting and retaining high quality employees, the rising risks due to the difficulty in certifying accurate data, today, and the expectation that finance has a role in driving the business forward.

The primary objective of any financial transformation project is to achieve process improvements by improving the quality, effectiveness and efficiency of financial information, ultimately enhancing shareholder value. Take the example of the close process. It would be incredibly simple to shorten the process by adding more people, however, is this an efficient way to reduce the number of days to close? On the right, the Hackett Group displays that best in class companies actually can be seen closing in fewer days, with greater automation and significant lower audit fees, emphasizing the idea that you really can do more with less.

"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."

As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality

Do your plans and forecasts need a reality check? The quality of your strategic decisions is only as good as the quality of your forecasts. And forecasts are only good if they reflect current reality—not the reality of two, three or more quarters ago. Enter “continuous planning.” With a methodology for forecasting at frequent intervals throughout the year, continuous planning “enables managers to see trends, patterns, and ‘breaks in the curve’ long before their competitors, and thus make better informed decisions regarding products and markets.” In this free online webinar, speakers Jim Collins & Guy Jones will explain how continuous planning keeps you in touch with current reality - and one step ahead of competitors. Jim Collins, Performance Management Strategy Executive, IBM Guy Jones, Worldwide Technical Sales Executive, IBM Performance Management,

The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.

The time of mobile point of sale (mPOS) has arrived. While the mission to adopt EMV has dominated the payments industry over the past few years, many hotels, resorts and casinos are now focusing their efforts on rapid planning and implementation of mPOS strategies. A number of emerging trends are driving this new focus, including an emphasis on enhancing guest experiences and building brand loyalty by leveraging digital and mobile technologies. Innovative hotels, resorts and casinos are using these solutions to create entirely new guest experiences that improve service speed and convenience while creating distinct competitive advantages. mPOS is increasingly becoming a key part of the picture, providing unique opportunities to improve guest service quality and engagement, create new efficiencies and cost savings, and strengthen their brand. This eBook will provide an overview of those opportunities, some key trends in the hotel & lodging industry, and guide you through the key requirem

The energy landscape has become increasingly complex. Globally, we’re relying less on centralized, steady power sources – such as gas-fired and coal-fired power stations – and more on mixed, locally-distributed renewable energy supplies including solar, wind, tidal and battery. While this is positive for the environment and carbon emissions, it makes balancing power grids a much more complex task. Power quality and reliability becomes more variable in output, while demand for power continues to increase steadily. But when it comes to energy resilience, many organizations simply don’t know where to start. What solutions are available? Which are the best ones for their specific situation and physical premises? What will be their return on investment? Is it simply the cost of doing business, or is there actually a business case? The guide will give you the tools and data to build your understanding and quantify the benefit for your organization.

The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)

Supply chains are the lifeblood of a business, impacting everything from the quality, delivery and costs of an organization’s products and services, to customer service and satisfaction, and ultimately profitability

Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma