Data Analytics
Forecasting Strategies for Healthcare Systems During Covid-19
The increased demand on healthcare services will be compounded by the apparent increased risk of infection among healthcare workers.
The increased demand on healthcare services will be compounded by the apparent increased risk of infection among healthcare workers.
No one could foresee the impact that the Covid-19 outbreak would have on the different processes we take for granted.
In our previous analysis, Covid-19: Repercussions for Oil Markets, Evalueserve predicted that the price war between Saudi Arabia and Russia wasn’t sustainable due to economic ramifications.
The impact of Covid-19 on the metals and mining industry has shifted gears, in which the impact changed from “moderate” towards the end of February 2020 to “high” by the end of March 2020.
The disruption that Covid-19 has caused can be felt by each node of the global supply chain, and by organizations of all sizes.
There has been a high level of interest from our clients and partners on the recovery in China.
The global economy has been grappling with a severe demand shock, as more than 100 countries closed their borders in the past month.
When a crisis arises, there is usually no forewarning or prediction—it just hits. Covid-19 has shaken various organizations to their core, as they scramble to adapt to a work from home structure.
If the Covid-19 driven erosions of crude oil demand weren’t enough, then the fall-out of the OPEC+ alliance has further dented the oil markets.
The interest in AI, data analytics and data initiatives has been drastically rising— especially more during the current Covid-19 situation.
At the start of 2020, RPA is already worth a staggering total of $1.5 billion.
Financial statements, SEC filings, management presentations, etc., have long been the only reliable data sources for analysts. Not anymore.
A couple of years ago, RPA was seen as the “next big thing”, prompting professional services firms to dive head first–but results fell far short of the hype.
The bank needed help with bringing together and refining diverse risk management processes surrounding their high-risk portfolio management, in order to improve their report turn-around times.
Evalueserve developed a tracking system that aided the client in spotting inefficiencies across multiple facilities.
A major global industrials company needed Evalueserve’s help with managing their spend data.
Our client requested a tool that would drastically reduce stakeholder decision-making time for a field follow machine.
A US hypermarket retailer needed to redesign its inventory and distribution framework.
Evalueserve was tasked with developing a solution that can handle high volume inventory across four distribution centers, while providing continuously updated insights for the client and their stakeholders.
The client needed dedicated support to manage and update its data assets. It expected the support partner to handle multiple activities.
It’s time now to shatter the long-held myth about dearth of MedTech data and use the power of predictive and prescriptive analytics to gain competitive advantage.
As digital transformation advances, many are turning to automated marketing solutions – but they’re still overwhelmed by their workflow.
Read the latest survey-based report of 54 Indian companies focused on their investments and operations in China. The report has been developed and published in collaboration with Confederation of Indian Industry (CII).
Read how analytics can help maximize the potential of your human capital.
You could unlock deeper insights and higher ROI by combining spend information with other datasets and moving up to higher-order analytics.
The GDPR, which comes into force on May 25, 2018, should be a top priority for all your departments if your company has operations in the EU.
In the pharmaceutical, life sciences and healthcare industries, the time spent gathering, normalizing, analyzing and interpreting commercial data is staggering. But does it have to be that way? Our exclusive new industry insights paper looks at five ways to make business intelligence workflows smarter. Download your copy today.
Is your pricing strategy accurate? Do your price points delight customers? Or, are you losing out to competition due to flawed pricing? It’s not just you; all businesses face these questions when reviewing their sales and pricing strategies.
Generate Insights. Optimize Budget. Increase Revenue. Ensure Efficient Knowledge Management. Increase Productivity. Maximize Efficiency. Enhance Collaboration. Manage Timely deliverables and dissemination.
Going digital is the key to improving efficiency and creating a seamless customer experience. But crafting an effective digital strategy is easier said than done. This brief guide will get you started on the journey.
Practically every business today owns a website. Whatever industry you work in, and whether you’re selling direct to consumers in B2C or providing a knowledge portal for B2B clients, your website is probably your most important digital channel.
Managing a brand in today’s dynamic media landscape is a major challenge. Research and the statistical analysis of big data can be powerful tools to help marketers identify new ways to strengthen their brands and drive sales.
Pricing can determine whether your business succeeds or fails, which is why it’s a strategic priority for every organization. If you want to price your product to maximize sales, market share or profit, you need an effective pricing strategy—and analytics can help.
Knowledge management (KM) is the process of capturing, developing, sharing, and using organizational knowledge. Purposeful, concrete, and action-oriented knowledge management programs can yield impressive benefits for both individuals and organizations.
The client wanted to leverage freely available meteorological data to improve predictions of pesticide sales.
Every company is undergoing transformation as the digital age sets in. Automation, analytics, business intelligence, digitalization, and big data have become buzzwords for identifying and solving problems, making corporates somewhat less dependent on professional services (PS) firms for their routine analytical requirements.
Cognitive technology is the next big cost saving initiative in the world of procurement. We have taken a look at various cognitive solutions that are being implemented across industries and how they constructively evolve the overall maturity of the procurement organizations. The infographic below details these industries we have covered and their specific applications
The digital stack is an interlinked set of technologies that create value for your organization, customers, partners and co-competitors.
Identifying opportunities for workplace efficiency is not a matter of choice in the modern, competitive professional services industry anymore. Automation has a distinct role to play in increasing efficiency and reducing employee involvement in monotonous, time-consuming tasks. But what does it take to successfully streamline research and analytics?
The world is generating data like never before and some companies have created very sophisticated big data use cases. Whether you consider this a violation of your privacy or an exciting sign of progress, these use cases exist. Law makers are playing catch up and the European Union is leading the field with its General Data Protection Regulation.
Our team attended this year’s GE’s Minds and Machines conference in San Francisco. Read more to find out why we believe the question is no longer if digitization leads to better customer experience and higher productivity, but about the how behind it.
Big data gets a lot of attention from journalists these days. Look at any site publishing articles about data, analytics or business in general and I’m sure you’ll find a considerable number praising the potential of big data.
Microsoft has shown many signs of warming up to the open source community: the .NET Core project, the SQL Server release for Linux, the incorporation of open source software into Azure: the signs are all there
Monitoring changing regulation environments can be a daunting task for global companies. In this post, we review how we helped a Fortune 500 client in dealing with this, by making use of our mind+machine approach to bring in efficiencies, data quality and granularity.
The Ring of Knowledge is a powerful 8 step process, designed to help ensure analytics use cases are set up correctly.
The forecasted numbers of devices are staggering. Cisco, the largest networking provider in the world, estimates the number of connected devices to reach even 50 billion by 2020.
Energy companies, for example, are seeking tools to forecast demand fluctuation and predict overload situations, so that they can plan production accordingly.
If you want to get the most out of your organization’s data, you need to have a really clear understanding of what successful analytics means.
Marc Vollenweider explains the five different building blocks that help us deliver solutions for our clients: analytics engine, productivity tools, workflow, dissemination, and knowledge management.
Investment in technology is not enough for successful digital transformation or how your customers perceive you as a brand.
Sell-side research is seeing a range of disruptive changes that are currently redefining the marketplace. Delivering reports that provide newer and deeper insights are needed more than ever before. Is the use of intelligent automation a defining factor in this race to survive?
Today’s market is fierce. Companies across sectors are faced with neck-to-neck competition, struggling to gain a competitive edge
The banking sector showed its most vulnerable face during the 2008 recession. Strict regulations and measures enacted soon after the crisis has been keeping banks on their toes.
Managing customer churn is vital to business performance. As is researched and proven, a 5% improvement in customer retention rates increases profitability by 25 to close to 95%, as it is many times more expensive to acquire new customers than it is to retain an existing one.
The client found it challenging to identify key controllable and uncontrollable factors that drive customer churn at the dealer level. This in turn made it impossible to develop effective strategies to reduce churn.
Could the researcher get the same information from another data source at a better cost with no risk of non-compliance?
We believe more than 95% of analytic use cases will continue to need a human mind to deliver value to clients.
A lot of books have been published on the topics of analytics and big data, particularly over the past decade. In this blog post, our author Mahesh recommends three of them.
In his second video, our CEO Marc Vollenweider talks about the four benefits of our mind+machine strategy for our clients: 1) Productivity increases 2) Reduce time-to-market 3) Quality improvements 4) Provide new capabilities to give our clients an edge in the market.
See the list of 10 must-watch TED Talks on mind+machine™ in our latest blog entry.
Earlier this month, KPMG signed with IBM’s Watson Supercomputer to take care of rule based tasks in auditing.
Evalueserve’s strategy is based on mind+machine. Now, what is mind+machine?
Database subscriptions are a necessary expense, but many financial services companies are finding they spend more than they need to.
Database subscription management is a high-priority activity for financial services firms.
There has been a flood of books on this topic in the last year or two. We have compiled a reading list of the top business books on automation and the future of work.
With a year-on-year growth of 10.7% to a value of $11.7 billion (2014), the executive search and leadership consulting industry and the businesses it serves are facing a major challenge: they need to find good talent, faster.
Evalueserve has made great headway for our clients with our mind+machine™ approach.
These days, the popular media are full of articles about machines that use big data to perform almost any task without human intervention. But is this really true?
Customer-centric data analytics can help in the assessment of customer bases and construction of versatile frameworks for sales enablement and customer interactions.
Sector & Account Intelligence
MICI for Asset & Wealth Management
CI for Management Consulting Firms
ESG Intelligence for Asset Managers Fund Marketing & Digital Marketing Intellectual Property Management MICI for Real Estate
ESG Controversy Monitoring for Asset Managers
Patent Analysis
RPA For Risk Model Management
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