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.
Our CEO Marc Vollenweider returns to the Innovation Ecosystem podcast to talk about the beginnings of Evalueserve, strategies to use mind+machine to drive innovation and of course his new book, Mind+Machine: A Decision Model for Optimizing and Implementing Analytics.
Retaining promising junior bankers has become a high priority for investment banks. Automation has demonstrable advantages in terms of increased efficiency and reduced costs, but what about the potential for increased satisfaction?
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.
Decision makers want their invested resources to produce insights, not just gather a collection of data scientists, big data tools and AI algorithms.
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.
Machine alone can’t deliver real insights or knowledge. Success lies in knowing how to mix the two. However, the key lies in knowing how to find the efficient frontier.
An analytics use case is the end-to-end analytics support solution applied once or repeatedly to a single business issue faced by an end-user or homogeneous group of end-users who need to make decisions, take actions, or deliver a product or service on time based on the insights delivered.
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.
In the Silicon Valley there is the perception that machines can do everything. Our CEO, Marc Vollenweider, does not think so. Machines can and will not replace humans, who are the creators of ideas and innovations. Watch our fourth video to learn more.
Today’s market is fierce. Companies across sectors are faced with neck-to-neck competition, struggling to gain a competitive edge
Could the researcher get the same information from another data source at a better cost with no risk of non-compliance?
In our third video, Evalueserve’s CEO Marc Vollenweider talks about why mind+machine is the key differentiator for the company, and what is the difference to IT companies.
We believe more than 95% of analytic use cases will continue to need a human mind to deliver value to clients.
Out of more than a hundred exhibitors and 15 nominees, we were chosen as the winner of the award for the Best Lead Generation Tool.
After our major rebranding last year, we took up the next major project and developed our new and innovative website that shows the whole width of solutions and products we can offer.
A lot has been written over the last few years about the age of automation and how that will impact the future of work.
The research blog of CB Insights recently featured a really interesting post around 14 early-stage virtual assistant startups to watch.
There are many awards and listings, but as an entrepreneur, some make you prouder than others. For the second time already, we have been chosen as one of 1000 companies to inspire Britain by the London Stock Exchange (LSE).
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.
Maintaining efficient and compliant customer engagement and communications in the financial services industry can be challenging, but modern, dynamic workflows are changing the face of publishing.
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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