Creating a successful patient experience strategy is a long-term investment in planning, surveying, training, and technology. Healthcare organizations hope these efforts will pay off at the very least with a growing base of loyal patients, better care quality, and stable reimbursement. And then there are those organizations that are turning patient experience into a movement. What’s their endgame? They intend to build state-of-the-art service-oriented cultures that rival other industries, and they are doing it through data analytics, unique communication programs, radical cultural shifts, and consumer-centric technologies.
Healthcare reform regulations, increasing costs, and more competition are driving employers and their health plans to focus more than ever on opportunities to reduce cost trends. For example, the country experienced a 3.0% growth in per capita gross (allowed) medical and pharmacy costs from 2012 to 2013. Truven Health Analytics anticipates those costs in 2014 and 2015 will increase by 4% to 5% or more. By taking a data-driven approach, payers can manage costs and, ultimately, make their benefit programs sustainable in the context of healthcare reform. They can also maximize opportunities to improve population health and productivity and optimize the delivery of care.
Healthcare organizations with strong bond ratings are regarded favorably from a financial perspective, of course. In addition, research by the Truven Health AnalyticsTM ActionOI® program shows that such organizations tend to excel in other categories, such as average length of stay and results of Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys.
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity.
Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management. As we receive inquiry on this area increasingly, it makes sense to assess this market.
Published By: Cognizant
Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms.
Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
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.
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)
APIs have become the de facto standard for building and connecting modern applications, so any degradation in API performance can have an adverse impact on customer experience, brand value and revenue.
Google Cloud’s new eBook, Optimizing API Programs with Monitoring and Analytics, takes a detailed look at the benefits of using API monitoring and analytics technology to optimize your API programs and digital strategies.
Explore how to deliver a seamless and connected experience for customers, partners, and employees.
-Field-tested best practices
-Real-world use cases
-An API monitoring and analytics checklist
Evolving your digital analytics program for a shift toward democratization requires foundational work. It’s crucial that you evaluate the current state of your analytics program. Know that building confidence for the analytics newbies and their managers will take time and investment, but it will set the stage for providing exceptional and consistent customer experiences across channels.
Download our new guide The Extraordinary Possibility to learn about the five strategies to help you transition into an organization where everyone is part of the Analytics action.
Published By: Workterra
Published Date: Nov 10, 2017
Mid-market HR today is being asked to be a business partner in areas that range from compliance to employee engagement. They need to be able to connect the dots among various sources of employee data to deliver better-informed business decisions to help achieve strategic goals.
Connecting those dots and delivering those results demands more HR firepower and greater data visibility than the manual or homegrown processes and systems often used by mid-market organizations can deliver. On the other hand, most mid-market companies aren’t ready for the intricacies or expense of human capital management (HCM) systems designed for enterprise-level organizations.
The answer for forward-thinking HR leaders who want to boost their team’s capabilities and play a greater role in their company’s future is having core HR functionality designed into an integrated benefits administration solution.
Automated HR that delivers core HR features as part of its architecture — not as an afterthought or a separate, stand-alone module — gives HR leaders:
• The tools they need to better handle their administrative work
• The data and analytics necessary to better coordinate programs and more confidently make strategic decisions
• A user experience that makes life easier for HR and employees
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity. Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management.
Artemis Health teamed up with Employee Benefit News to research the current “benefits landscape.” We surveyed self-insured employers to find useful trends, interesting stats, and info on what leaders like you are doing to improve their benefits strategy. In this whitepaper, you'll discover:
• Regional differences in benefits offerings and priorities
• What benefit leaders believe they can accomplish with benefits data analytics
• The features and functionality your peers are looking for when they evaluate a data solution
Published By: Infosys
Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next.
Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
As we have said through this paper, it is no longer an either/or choice between security analytics and SIEM. Or even between insourcing and outsourcing security monitoring. You need to establish a team with complimentary capabilities, skills, and resources; then leverage each part for what it does best. It is frustrating to use a technology for something it’s not built to do, and just as frustrating to expect a service provider to do things beyond their capability — regardless of their claims during the sales cycle. So don’t do that — build your security monitoring program to give all parties the best chance of success.
Published By: Marketo
Published Date: Mar 18, 2019
The role of marketing is constantly evolving. More than ever, marketing has to prove its impact on the success of the business. Outside executives often believe that marketing exists solely to support sales, or as an arts function that hosts company events and puts logos on t-shirts. With the pressure increasing, the growing imperative for marketers to prove their worth has arrived. It’s time for marketers to take control over the revenue process, earn the respect of their organizational peers, and earn a seat at the table. What must marketers do to be seen as an integral part of the machine that drives revenue and growth?
Download The Definitive Guide to Marketing Metrics and Analytics to learn about:
Establishing a culture of accountability
Planning programs with ROI in mind
Creating a framework for measurement
Embracing revenue performance management
Mastering the art of forecasting
Building dashboards to inform complex decisions
Implementation across teams, tactics, and technolog
Doug Gold, chief financial officer of CoreObjects, a Los Angeles-based product development company with multiple locations across India, talks about how his company is overcoming the challenges of visibility and control within distributed software development projects.
Do you have a software development metrics program? Does it work? SD Times, 6th Sense Analytics and Rally Software Development Corp. participate in this recorded Roundtable Discussion focused on developing a metrics program that gives you the information you need to make informed decisions regarding your software development efforts.
The underground economy is thriving, thanks in part to new technologies and business models such as digital currencies and online marketplaces for freelance services. SAS fraud specialists reveal how government agencies can uncover these activities – and the tax obligations not reported from them. A former head of compliance for the country’s fourth-largest state workers' comp program describes how a comprehensive analytics program found a tax gap of $718 million and was granted funding to double the team’s size without even asking.
Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.
Join fundraising consultant and author Joshua Birkholz and IBM for an overview of the impact predictive analytics can have on your fundraising programs. We'll explore how this data-based approach can help you
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.
Both business and IT leaders will learn:
. Why midmarket organizations may have some requirements for BI and analytics programs
. How to navigate the many options available, and the pros and cons of various deployment styles
. Easy methods and techniques to get started with BI at
. Practical steps and best practices for midmarket BI programs
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.