HIMSS Analytics unveils 2018 EMR Adoption Model criteria #himss #analytics, #emr #adoption #model, #2018, #criteria,


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HIMSS Analytics unveils 2018 EMR Adoption Model criteria

HIMSS Analytics established a new set of criteria for its EMR Adoption Model, set to take effect Jan. 18, 2018.

The eight-stage EMR Adoption Model measures the degree to which a hospital or health system utilizes its EMR functions. The last time HIMSS Analytics updated its EMR Adoption Model criteria was in 2014, HIMSS Analytics Global Vice President John Daniels told Becker’s Hospital Review in an interview.

The new model contains a major focus on cybersecurity, with privacy and security standards integrated into Stage 2 through Stage 7. To meet Stage 2 criteria, organizations must now establish policies regarding device encryption, mobile security and antivirus software, among other standards.

Another update involves moving digital imaging criteria into Stage 1, since “pretty much every organization has a digital [picture archiving and communication system] capability for radiology and cardiology,” says Mr. Daniels. In the current EMR Adoption Model, digital imaging for radiology is a requirement to reach Stage 5 and digital imaging for cardiology is a requirement to reach Stage 7.

In 2018, HIMSS Analytics will also ask hospitals and health systems vying for Stage 7 designation about two more benchmarks: anesthesia information systems and smart infusion pumps. However, healthcare organizations will not be scored on these two additions.

“We’re looking at these capabilities, but we’re not scoring them,” Mr. Daniels says. “We’re letting the industry know, at some point in the future, these will become Stage 7 requirements. We want to make sure we give the industry plenty of time to begin to plan for and implement these capabilities.”

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Hire Predictive Analytics Services and Consulting Company #predictive #analytics, #business, #research, #outsourcing, #services, #healthcare, #predictive


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Hire Predictive Analytics Services

The more a business can predict the future, the better it can make intelligent business decisions. While the future remains uncertain, companies can benefit from a type of statistical modeling that allows them to assess the probability of future events, allowing them to make decisions that will ultimately earn them the best return.

This type of research is known as predictive analytics. Predictive research analytics specialists use a variety of strategies – from predictive modeling to data mining to game theory and more – to make probability-based expectation judgments to identify risks and opportunities and improve organizational outlook. In short, with enough data, we can make very educated guesses as to how your business will perform in both the near and distant future.

Research Optimus -Predictive Analytics Consulting Group

Companies use predictive analytics in numerous fields. From science to financial services to insurance to healthcare companies use predictive analytics to identify patterns, recognize potential, prevent risk and improve financial reward. This is performed by going through datasets of historical, financial, or transactional data.

The problem that most businesses have is that predictive analytics is complicated and time consuming. Few companies have the resources in place to navigate the complexities of predictive research, and even fewer have the tools or experience necessary to accurately craft effective predictive models and solutions.

That s why dozens of companies like yours have outsourced their predictive business analytics needs to Research Optimus. We employ MBAs with years of research experience and considerable proficiency in predictive modeling, and we’re happy to show you how we ve helped countless companies analyze data and create valuable business recommendations.

Benefits of Working With Predictive Analytics Research Company

We use only state-of-the-art statistical software, including SPSS, SAS, R, and Microsoft Excel. The following methods are used to generate data for use in your business and to provide valuable predictive analysis that is relevant to your industry. We employ these techniques along with advanced reporting and data cleaning techniques.

Methods Used by Research Optimus for Cutting Edge Predictive Analytics

  1. Data Preparation We will log and check data for overall accuracy; cleaning it if necessary before use.
  2. Data Layout and Quality Checking We will gather data and ensure it is clean and of high quality for future analysis.
  3. Decision Trees We will generate data-based diagrams for quick and easy decision-making.
  4. Segmentation We can create groups out of different types of data that correlates to your industry and the types of predictive analysis you need.
  5. Principle Component Analysis Using this method we can effectively analyze and understand the key components in the operation of your business.
  6. Customer Analytics We will research and analyze customer data according to your specific needs.
  7. Trend Analysis We will analyze large data sets to identify and analyze trends related to your industry, from customer behavior to shifts within the financial sector.
  8. Customer Intelligence We will gather data that represents your ideal customer demographic and gather key pieces of intelligence from it.
  9. Pattern Recognition We analyze data in your industry and your business to create models that present patterns that can be used in the decision-making process.

Contact us today to get started, and see why so many companies have turned to us for their predictive analytics needs. Contact Us

Other Business Analytics Services Offered

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  • Outsourcing Predictive Analytics
  • Benefits of Working with Research Optimus
  • Methods Used by Research Optimus for Cutting Edge Predictive Analytics
  • Other Business Analytics Services Offered

Retail Supply Chain Analytics 2016 #retail #lighting #fixtures


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Improve Service Levels Enhance Visibility
Accurately Forecast Demand Optimize Inventory
Execute An Efficient Network Transportation Strategy

Pressured to maximize service levels and profitability, retailers and CPGs are increasingly relying on data analytics to streamline complex supply chains and enhance customer satisfaction.

At Retail Supply Chain Analytics 2016 you will hear how predictive analytics can drive inventory decisions through more precise and accurate demand forecasting. You will also learn how data has optimized the location of DCs to reduce trucks on the road and how the tracking of orders has led to early detection of out of stocks and record-high service levels.

Critically, you will also discover how retailers and CPGs have adapted organizational structures, managed data and proved the business case for supply chain analytics.

Join VPs, Directors and Senior Managers at the only forum to focus on supply chain analytics specifically for the retail and consumer goods industry, and walk away with the tools to drive out cost and improve visibility of your supply chain.

The work Hanson Wade does is greatly recognized in our industry. I had the pleasure of recently attending a technical workshop you organised, and it was extremely well done.

At the Hanson Wade events we have attended we were impressed by the balance of speakers and subject.

Previous Hanson Wade attendees


Retail Analytics: Intelligent Retail – Javelin Group #on #line #coupons


#retail analytics

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View all Blog posts

Locations & Analytics Practice

Retail Analytics: Intelligent Retail

Javelin Group provides advanced analytics and BI solutions to our retail, brand and property clients right across the enterprise.

In retail, our ‘analytics everywhere’ approach includes:

  • Location planning property. e.g. catchment analysis, sales forecasting, impact analysis, property management dashboards, store clustering, ‘car park’ report, automated ‘Valuation Office’ reporting
  • Customer insight marketing. e.g. customer profiling and segmentation, single customer view, local marketing hot-spotting, post campaign ROI analysis, market penetration analysis, social media analytics, RFM analytics, ‘Next best action’ planning
  • Operations. e.g. advanced drivetime analytics to inform logistics, optimise salesforce boundaries, optimise field force activities, POS analysis, inventory planning, call routing, warehouse applications, KPI dashboards
  • Buying merchandising. Detailed flow replenishment reporting, range/category/SKU-level analytics, stock availability reporting, space optimisation, price optimisation, markdown decision support, local merchandising
  • Finance HR. e.g. automated weekly/monthly KPI reports, store sales and profit modelling, M A analysis, rankings reports, staff performance reports, single view of the truth
  • eCommerce multi-channel. e.g. merge online and offline performance KPIs, single customer view, blend Google Analytics with external data, AB testing, marketing campaign attribution, web content personalisation, product recommendations, KPI dashboards

To meet these requirements, we are experts in deploying a range of market leading BI software tools such as Alteryx and Tableau which take advanced data analytics right into line of business.

Through our colleagues at Accenture Digital we also access the Accenture Insights Platform (AIP) which provides a cloud-based ‘Analytics-as-a-Service’ solution which drives transformational business outcomes at speed and scale through the flexible use of a range of pre-configured technologies.

Javelin Group’s understanding of retail locations and consumers is informed by a range of specialist datasets. We combine our proprietary datasets with relevant external market and demographic data to gain a 360 degree perspective of the retail marketplace to inform our project work. All the datasets are available to license as standalone products or delivered within one of our recommended business intelligence software tools.

Clients

Testimonials

Information and analysis of key retail trends from Javelin Group is proving to be extremely helpful, informing and strengthening our work on town centres across Greater Manchester.
Garreth Bruff, Policy Manager, Association of Greater Manchester Authorities (AGMA).

The marketing campaign using Javelin Group data gave remarkable and unprecedented results. I was very pleased with the insight this project delivered and would recommend the team at Javelin Group.
Adam Blackwell, Business Development Manager, Citroën UK.

Case Studies


Retail Solutions, Retail Analytics – Industry – Happiest Minds #retail #weekly


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Retail Analytics

Modern age customers are gradually shifting to e-tail. Today, shoppers have all the information they need to make informed decisions and extract the maximum value out of their spending. Thus, traditional retailers need to change their business models to keep pace and excel as digital merchandizers.

Happiest Minds’ Retail Solutions and Services, combined with retail analytics, drives the much-needed Digital Transformation. Our retail solutions enrich end-customer experience and improve business efficiency through an integrated set of disruptive technologies like mobility, big data analytics, security, cloud computing, social computing, M2M/IoT and unified communications.

Happiest Minds has been recognized by Gartner as an Advanced Analytics provider operating in Tier 1 Retail market.

Offerings

In Store Transformation

Stores continue to be the nerve-center for most bricks and click retailers. However, there is an imminent need to transform retail stores into experience centers for omnichannel customers. Our retail solutions help stores function as mini-fulfilment hubs, offering flexibility in delivery choices to avoid losing a potentially sale. Our offerings:

  • Extended aisle, experiential kiosks and interactive digital displays
  • Location- Mobile-Personalization (Lo-Mo-Me) to drive personalization in-store
  • In-store path to purchase, track and engage solutions for customer experience management
  • In store digital customer journey codification
  • Digital signage
  • Associate enablement with digital advisory sales platform
  • Associate productivity solutions
  • Gamified KPI dashboard for performance of store associates

Omnichannel Retail Transformation

Today, it is imperative for any retail business, engaging in more than one channel, to have a clearly defined omnichannel strategy. This creates a better impact on customers across multiple touch points, ensuring a seamless buying experience. Our retail solutions include:

  • Omnichannel fulfillment enablement
  • Customer 360:single view of customer is the foundation of omnichannel experiences
  • Omnichannel personalization
  • CRM and omnichannel customer feedback management
  • Front-end modernization or e-commerce enablement
  • Omnichannel maturity assessment and strategy

Insights and Marketing Automation

Retail analytics and insights are a crucial element of smart all-channel retailing. Happiest Minds’ Insights and Marketing Automation assures customer acquisition, retention, promotion planning, effective retail operations and better merchandizing through advanced retail analytics that provide actionable insights.

  • Personalization and Recommendation (PnR)
  • Customer micro-segmentation
  • In-the-moment/dynamic pricing
  • Social analytics
  • Campaign and marketing analytics

Security and Infrastructure Transformation

With Insights, IoT and emerging technologies being in PoC and experimentation mode, retail leaders need to consciously steer their teams with the right decisions in terms of infrastructure, security and compliance requirements proactively. Our solutions, whichhelp retailers adopt these disruptive technologies from security and infrastructure perspective, include

  • Assessment to benchmark your current state on security and compliance
  • Network, web and application Security
  • Data security (PCI 3.0)
  • PoS security
  • BYOD and mobility security
  • Analytics security (to help secure your Analytics platform)
  • IT in a box to address your end-to-end store infrastructure

The internet of things is changing the way connected things can benefit industries, leading to the emergence of cross-industry synergies. MIDAS, our proprietary platform,when coupled with our industry expertise, can help you stay ahead of the curve. Our IoT solutions include:

  • Assessment on your readiness to embark on the IoT journey
  • In-store path to purchase, track and engage solutions for customer experience management
  • Intelligent vending systems and solutions for auto-replenishment
  • Real-time store Monitoring solution to proactively track and alert on scenarios like out of stock, device failures, potential expiries, planogram compliance, etc. for business to act in time
  • Solutions for supply chain visibility in warehouse, in-transit and in-store
  • Realizing cross-industry synergies with smart-home, smart-logistics, and smart-manufacturing use cases for order management and auto-replenishment.

Journal of Retail Analytics – Platt Retail Institute #online #fabric #store #coupon #code


#retail analytics

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Journal of Retail Analytics

PRI’s Journal of Retail Analytics is a comprehensive quarterly publication that includes news and case studies regarding retail analytics, digital customer-facing technologies, and related topics. The Journal provides a snapshot of the economy as it impacts retailers and consumers. In addition, the Journal examines trends in the use of retail analytics and details developments in the digital communications industry. Authors include industry thought leaders and leading academics, among others.

PRI s offices, projects, and extensive contacts in North America and Europe enable the firm to report on cutting-edge global events. Furthermore, the Journal features distinguished guest columnists, thought-provoking case studies, network profiles, and more.

If you are interested in submitting an article for publication in the Journal, please review the current Submission Guidelines .

The most recent edition of the Journal of Retail Analytics is available for free download below. Articles in the 3Q 2016 issue include:

Dynamic Pricing is Coming to a Store Near You by Steven Keith Platt, Director and Research Fellow, Platt Retail Institute and Research Director, Retail Analytics Council, Northwestern University.

Integrating Apple TV into a Digital Media System in Higher Education by Dr. Alison Berry, Dr. De Arno De Armond, Emily Gross, Dr. Neil Terry, and James Webb, West Texas A M University.

Making Digital Signage Greener by Margot Myers, Director Global Marketing and Communications, Platt Retail Institute and Director of Marketing, Retail Analytics Council, Northwestern University.

Mobile is Eating Bricks and Mortar by Gian Fulgoni, Co-Founder and Chief Executive Officer and Andrew Lipsman, Vice President, Marketing and Insight, comScore, Inc.

OLED at the Convergence of Online, Branding and Customer Experience by Garry Wicka, Head of Marketing, Commercial Division of LG Electronics USA, Inc.

Retail in the Digital Era: Combining Analytic Technologies with Digital Signage to Boost Sales and Engagement by Richard Ventura, Vice President of Business Development and Solutions, NEC Display Solutions.

Tips on Behavior Analytics for the Physical Store by Ronny Max, Principal, Silicon Waves.

Video, IoT, and, a New Era of Retail Analytics by Cliff Crosbie, SVP Global Retail, Prism Skylabs.

Download current and archived issues of the Journal of Retail Analytics below.


Predictive Analytics Solutions for the Retail Industry #career #in #retail


#retail analytics

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Retail

CUSTOMER ANALYTICS INSIGHT

Win new business with a positive customer experience

Unlock valuable customer intelligence in your data to:

  • Develop a personalized customer experience offering
  • Acquire new customers
  • Build high-value relationships, retain customers and reward loyalty
  • Focus loyalty initiatives on high lifetime value customers

Our advanced analytic solutions harness the power of your data to provide you actionable insight that helps you craft a tailored experience to your customers.

PRECISE MARKETING

Big Data is forcing retail marketers to stay savvy

With increased competition biting at your heels, our advanced analytics solutions will help you:

  • Understand customer purchase behavior and predict your customer’s likelihood to purchase
  • Determine optimal communication channels to reach customers and prospects at the right time
  • Make smarter product offer decisions that improve overall propensity to respond
  • Develop optimal promotional strategies that maximize revenue

By predicting customers’ incremental response, advanced marketing analytics will help you make smarter product offer decisions that greatly improve overall marketing ROI.

RISK MANAGEMENT

Improve confidence in the management of your store brand credit card

Our advanced risk analytics solutions mine big data to help you assess customers and new applicants to:

  • Develop credit scorecards to improve your decisioning at the individual level
  • Reduce transaction costs and time-lags associated with decisions to extend credit
  • Grow market share by uncovering valuable growth opportunities
  • Create actionable and predictive rules that drive continuous business improvement across all portfolios

Discover valuable insights to improve your credit decisioning, reduce decision time, mitigate risk, and reveal valuable growth opportunities with our credit risk scoring solutions.

MERCHANDIZING

Give your customers what they want, where they want it

With one opportunity to convert an in-store purchase, our predictive analytics solutions will help you:

  • Identify and predict trigger events for effective demand planning
  • Select which products should be allocated to specific stores
  • Identify products that should be co-merchandized in-store
  • Establish a unique merchandizing strategy for online versus in-store

Customers are getting smarter stay ahead of your customers using predictive analytics to effectively merchandize and allocate products to your store.

LOSS PREVENTION

How do you best detect, prevent, and manage loss?

Our predictive models can detect subtle patterns of unusual or suspect activity in your data, so that you can:

  • Reduce inventory shrinkage through proactive fraud deterrence
  • Introduce fraud and abuse detection that adapts with predictive rules and evolves with changing patterns
  • Identify patterns and predict indicators of loss
  • Flag suspicious behaviour for escalation and further investigation

Our analytic solutions arm you with meaningful insights to decrease fraud and abuse, detect and prevent anomalous transactions, and help you respond proactively to mitigate loss.

“We receive over 300,000 emails per year. With KnowledgeREADER™, we are able to analyze customer email, and find consistencies. Through weekly reporting, it will help us let our Customer Sales and Services see which are the hot themes of the week and how they change week over week, so they can take the appropriate action.

– Joe Elke Advanced Insights Scientist Business Intelligence, American Girl LLC

Our Customers


Retail Analytics Market worth USD 5 #retail #website #design


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HOME Press Releases Retail Analytics Market worth USD 5.1 Billion USD by 2020

Retail Analytics Market worth USD 5.1 Billion USD by 2020

The report “Retail Analytics Market by Business Function (Marketing and Customer Analytics, Merchandizing and In-Store Analytics, Supply Chain Analytics, Strategy and Planning), by Type, by Solutions and by Services – Global Forecast and Analysis to 2020”. defines and segments the global retail analytics market on the basis of business function, solutions, services, deployment types, and regions along with providing an in-depth analysis and market size estimations. The supply chain analytics is expected to contribute the largest market share where as, merchandising and in-store analytics will play a key role in changing the retail analytics landscape during the forecast period. The report also covers the total retail analytics market by geographic regions.

Browse 71 market data tables and 49 figures spread through 113 pages and in-depth TOC on �Retail Analytics Market – Global Forecast and Analysis to 2020
http://www.marketsandmarkets.com/Market-Reports/retail-analytics-market-123460609.html
Early buyers will receive 10% customization on reports.

The retail analytics market size is estimated to grow from USD 2.2 Billion in 2015 to USD 5.1 Billion by 2020, at an estimated Compound Annual Growth Rate (CAGR) of 18.9% from 2015 to 2020. Retail analytics solutions help retailers gain useful insights that can help them in making decisions from offers to the on-to-consumers to displaying the right product at right place at the shelf. These analytical solutions collect data from several data sources, integrate it, and further present it in a structured format, which enhances the data visibility and analytical capabilities. The retail analytics market is expected to gain traction in the next five years due to growth in digital data.

Merchandising and in-store analytics solutions are expected to gain maximum traction during the forecast period

The retail industry has evolved significantly in the recent years, in terms of infrastructure, utility, and technological advancements. Demand for the use of high-end technologies, such as the big data analytics has increased mainly to provide better customer experience. Furthermore, prevalent surge in in-store analytics solutions and services is driving the growth of the retail analytics market. In-store analytics solutions are becoming an innate part of today�s digital marketing and operational strategies as they help in analyzing numerous areas of business such as marketing, operations, merchandising, fraud detection, and loss prevention.

Increasing demand for customized retail analytics solutions is stimulating the growth in the emerging economies of APAC and MEA. North America is expected to have the largest market share, however MEA will grow with the highest CAGR from 2015 to 2020, closely followed by APAC. The major vendors in the retail analytics market include IBM, Oracle, SAP, SAS, Microsoft, Tableau, Angoss, Information Builders, Adobe, and Qlik.

Key vendors in the retail analytics ecosystem were identified and studied individually, to understand the solution/ software offerings and features, business models, pricing models, and their respective customer base. This data was collated and further scrutinized based upon individual company�s revenues, contributions from various regions/ countries, industries, and business segments.

The scope of the report covers detailed information regarding the major factors influencing the growth of the retail analytics market such as drivers, restraints, challenges and opportunities. A detailed analysis of the key industry players has been done to provide insights into their business overview, products and services, key strategies, new product launches, mergers and acquisitions, partnerships, agreements, collaborations, and recent developments associated with the retail analytics market.

MarketsandMarkets is world�s No. 2 firm in terms of annually published premium market research reports. Serving 1700 global fortune enterprises with more than 1200 premium studies in a year, M
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Retail analytics #merchandiser #jobs


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Powerful insights for any retail professional

Traffic 2.0

Using an outdated people counter? It’s time to reinvent

  • Add texture to your traffic
  • True traffic measurement
  • Optimize staff

See full benefits

Marketing

Deliver magical retail with proven in-store marketing

  • The in-store journey – start to finish
  • Optimize window and displays effectiveness
  • Smarter mobile marketing

See full benefits

Operations

Execute corporate retail operations’ strategies to create a friction-free retail experience

  • Benchmark your stores with Traffic 2.0
  • A ‘virtual’ view into your store and trends
  • Direction mapping
  • Optimize fitting rooms

See full benefits

Loss Prevention

Beyond video management. Investigate faster. Reduce shrink

  • Pinpoint investigations with security and POS events tied to video
  • Save time on investigations with robust video management
  • Remotely investigate with web and mobile applications
  • Identify risk early with POS exception reporting and Search
  • Save money with an all-in-one solution cross-departmentally with Operations and Marketing

See full benefits

Omnichannel

Leverage omnichannel retailing data for in-store engagement

  • Map activity offline to online
  • Online activity in the store

See full benefits

Retail Labs

Retail Labs to innovate and test concepts prior to rollout

  • Simple A/B testing
  • Understand the full shopper journey
  • Test new store concepts

See full benefits

Brands we work with.

Helping over 300 retailers succeed every day.


Featured Customer: Marine Layer


Retail Analytics Courses, Training – Certification #retail #management #training


#retail analytics

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Retail Analytics

Every case study gives you a chance to work on large, real-life business data sets in the advanced Jigsaw lab.

Tracking retail through numbers.

Build a scorecard for the merchandising function-head that shows a drilldown business view of all the categories sold. Apply retail business logic to come up with the appropriate metrics to view the business. Use the built scorecard to make business-level recommendations for the merchant.

Shop for your best customers.

Arrive at a customer value analysis for a seafood retailer to help him identify his most profitable customer segments to target. Apply RFM methodology on the customer data and offer the retailer a set of choices based on the type of retail strategy he wants to take.

Decoding sales through baskets.

Learn case-by-case, the building of association rules and discriminating good rules from bad. Through this real-world case study, understand the impact of market basket analysis on a retailer’s strategy.

Marketing mix – redefined for retail.

Get a step-by-step introduction of the various marketing variables arising in the retail-marketer’s context, followed by an exposition on the typical market mix modeling technique on these variables and its impact on the marketer’s decisions.

Dinner shopping leads to retail insights.

Build a promotion program for a Mumbai food-retail chain by segmenting the stores on the basis of their propensities for different categories under promotion. Employ clustering technique, covering attributes from historical trade and site-characteristics of the store.