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Published By: Salesforce.com     Published Date: Apr 16, 2013
Smartphones and tablets are game changers for engagement because people carry them everywhere they go. Your customers and partners and employees have perpetual access to the vast resources of the Internet — and hopefully your mobile app as well — in the key moments of their day. In interviews with more than 100 mobile innovators, we have found four places where mobile engagement transforms services and processes: customer engagement, process acceleration, employee productivity, and new business services. Even at this early stage of development, you can see positive impacts of mobile engagement in apps from General Electric, Trane, and Uber Technologies. We close with a simple framework for prioritizing which apps and features people will actually use based how useful and convenient they are.
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mobile, engagement, business, smartphones, tablets
    
Salesforce.com
Published By: Salesforce.com     Published Date: Apr 16, 2013
By 2014, smartphones and tablets will put power in the pockets of a billion global consumers, including your employees and partners and customers. However, mobile is not simply another device for IT to support with a shrunken website or a screen-scraped application. Rather, mobile is the visible manifestation of a much broader shift to systems of engagement that marry physical context and digital intelligence to deliver service directly into a person's hands. This shift will add value and take cost out of every business service, workflow process, and business application. But mobile engagement will also require wholesale changes to your app design, service delivery, IT skills, technology assets, and even your business model. This report lays out a vision for mobile engagement and introduces the strategic elements developed further in The CIO's Mobile Engagement playbook.
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mobile, smartphones, tablets, engagement, experience, applications
    
Salesforce.com
Published By: Salesforce.com     Published Date: Apr 16, 2013
Successful mobile apps, especially enterprise mobile apps, typically need to interact with a well-architected set of back-end services, but most mobile app developers are more skilled at client-side front-end development. Enter mobile back-end-as-a-service (BaaS), a new set of hosted platforms that addresses the gap between front-end development proficiency and back-end infrastructure requirements. Enterprise-class back-end-as-a-service addresses scalability while providing an integration platform into existing enterprise services. Use this research as your guidebook to navigating the emerging BaaS landscape.
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cloud mobile development, applications, baas, back end as a service, mobile application development, apps, mobile applications, enterprise
    
Salesforce.com
Published By: Salesforce.com     Published Date: Jun 10, 2013
Download your free copy and start turning your ideas into mobile apps. Get your free eBook and learn how to: • Embrace mobile design principles • Create engaging apps that put customers first • Make every developer a mobile one • Get on the fastest path to mobile freedom
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engaging applications, cloud mobile development, application, mobile application development, apps, mobile applications, mobile design
    
Salesforce.com
Published By: Salesforce.com     Published Date: Jun 14, 2013
This report, which is the vision report of the mobile app development playbook for application development and delivery (AD&D) professionals, focuses on the changes application developers need to understand if they want to build modern applications that deliver contextual customer experiences.
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mobile applications, application development, contextual experience, customers, technology, multi service endpoints, modernization
    
Salesforce.com
Published By: Salesforce.com     Published Date: Jun 14, 2013
Sign up now and learn how to quickly turn your ideas into mobile apps with Salesforce Platform Mobile Services.
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mobile, mobile applications, engaging, data, development, customers, mobile services
    
Salesforce.com
Published By: Salsify     Published Date: Mar 15, 2019
With over 10,000 SKUs across two divisions and multiple brands, seasonal and home decor manufacturer and distributor The Gerson Companies needed a better way to organize product market data and expand across hundreds of retailers. After investing in product experience management, the company was able to centralize product information in Salsify and empower its network of independent retailer with the data needed to sell successfully online. Featuring: Orin Borgelt, Chief Technology & Sales Officer Learn more about the step-by-step approach The Gerson Companies team took to take control of their data and increase sales on the digital shelf: Build a centralized, flexible, and accessible source of production information to arm all divisions of Gerson with the most up-to-date product inventory. Meet requirements for retailers. The Gerson Companies uses Salsify to syndicate product information across the digital shelf for their B2C divisions. Develop a new sales channels: Gerson uses Sa
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Salsify
Published By: SAP     Published Date: Apr 13, 2011
As a midsize company, you need to be faster and more focused than your bigger competitors. The SAP® BusinessObjectsT Edge Strategy Management application helps you develop the business agility to quickly align resources and execute changing strategies to drive efficiency and profitability.
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planning, consolidation, small businesses, midsize companies
    
SAP
Published By: SAP     Published Date: Jul 18, 2012
As mobile operations spread through your organization, how is it possible to manage, support, and configure hundreds if not thousands of mobile applications for employees who use different mobile devices and operating systems requiring different versions of the same applications? Read this white paper to discover the importance of mobile application management, and learn best practices for establishing it within your organization.
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technology, mobile, apps, applications, business, enterprise, workplace, e-mail
    
SAP
Published By: SAP     Published Date: Jul 18, 2012
An increasing number of organizations are permitting employees to bring their own mobile devices into the workplace to be used for work purposes. While this practice may first appear to reduce enterprise mobility costs while increasing employee productivity, it also poses new risks and may actually increase costs if not properly managed. Know how to cost-effectively manage this Bring-Your-Own-Device (BYOD) phenomenon.
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technology, mobile, byod, bring-your-own-device, mobile devices
    
SAP
Published By: SAP     Published Date: Nov 22, 2017
Consumer industries are facing once in a lifetime changes in the way they engage and interact with their customers and consumers. Whether consumer products, retail, or wholesale, there are two broadly unifying trends. First, consumers have both heightened influence and increased expectations. Second, several largely untapped digital technologies have the potential to enable new capabilities to better satisfy customer needs. For the key consumer industries of agribusiness, consumer products, life sciences, retail, and wholesale, the Internet of Things (IoT) will enable many new opportunities. These industries have a shared goal and challenge: to be able to create and offer engaging end consumer and/or customer experiences at scale. Part of the way that companies will achieve this goal and respond to this challenge is by developing digital transformation (DX) strategies. Such strategies enable new and potentially disruptive capabilities with a broad range of technologies.
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consumer, industries, interactions, customers, products, retails, wholesale, influence
    
SAP
Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
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best practices, embedding analytics, technology, data, operational analytics
    
SAS
Published By: SAS     Published Date: Apr 20, 2017
Hype and hope — Big Data has generated a lot of both. Thanks to an abundance of enterprise information systems, networks, applications and devices that churn out huge volumes of information, government agencies are awash in Big Data. Add to this data growth the emerging trend of the Internet of Things (IoT) — the network of people, data, things and processes that is increasingly linked through automated connections and sensors — and the future of Big Data can seem quite daunting.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Physicians and their patients, medical policy makers and licensing boards, pharmaceutical companies and pharmacies all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths. With so many players and data sources, today’s information is partial, fragmented, and often not actionable. We don’t have the data to understand what’s happening, to adjust policy, and to motivate physicians and patients to change their behaviors. Better data and analytics can help develop better treatment protocols, both for pain in the first place and for remediation when patients are becoming dependent on the drugs.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Digital transformation is a reality for marketers that is wrapped in both opportunities and headaches. Marketers understand the choices and expectations that their customers now have, and they are up for the challenge. But marketers also have many obstacles to overcome to deliver the consistently good, timely and engaging customer experience, across devices, that customers demand. The good news is that the marketing technology industry is rapidly evolving to address these challenges. And in the same way that consumers have an abundance of choices, marketers also have many options when it comes to choosing partners to help. But where to start, and how to choose the right partners?
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS
Published By: SAS     Published Date: May 24, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand. Great leaders become great by balancing strategy with tactics, future vision with current reality and strengths with weaknesses – all with the goal of accomplishing a clearly defined objective. Great leaders also understand that people are the most valuable resources within their organization. To drive and inspire their success, you must optimize strengths while recognizing inherent weaknesses. Many of our daily human experiences and interactions involve machines or devices of some sort. Technolo
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SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: SAS     Published Date: May 24, 2018
Digital transformation is a reality for marketers that is wrapped in both opportunities and headaches. Marketers understand the choices and expectations that their customers now have, and they are up for the challenge. But marketers also have many obstacles to overcome to deliver the consistently good, timely and engaging customer experience, across devices, that customers demand. The good news is that the marketing technology industry is rapidly evolving to address these challenges. And in the same way that consumers have an abundance of choices, marketers also have many options when it comes to choosing partners to help. But where to start, and how to choose the right partners?
Tags : 
    
SAS
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: SAS     Published Date: Jun 27, 2019
Imagine: Your pharmaceutical or medical device has been tested in carefully designed clinical trials and shown to meet required standards of efficacy and safety. It has gained regulatory approval and has gone to market. Now you want to know, does it measure up to its promise when used in the real world? Does it materially improve patient outcomes? Does it outperform alternative therapies? Does it achieve these outcomes at an appropriate value? Do you know which patients are most likely to benefit from it? Can you prove it, with statistical rigor? As the health care system moves toward a patient-centric, value-based approach, questions such as these are getting heightened scrutiny from all angles – from regula- tors, payers, providers and patients. And they should. Real-world evidence (RWE) can provide new insight into the benefits, risks and cost effectiveness of medicines and medical devices in actual use – evidence that can enable life sciences companies to develop better therapies
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SAS
Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS
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