Learn how probabilistic models like Bayesian Belief Networks revolutionize decision-making under uncertainty for global businesses.
Digitization has transformed consulting, enabling data-driven insights, personalized solutions, and virtual collaboration.
Learn how DataOps and MLOps synergy can enhance data management, streamline machine learning processes, and accelerate data-driven insights for competitive advantage.
Unlock the full potential of data-driven decision-making with prescriptive analytics, guiding organizations on the best course of action through advanced AI, real-time data processing, and optimization models.
Empower your organization with self-service analytics, enabling data-driven decisions across all levels while balancing accessibility with robust governance and fostering a data-driven culture.
Explore the transformative journey from data-aware to data-driven, unlocking your organization’s competitive edge through centralized data and advanced analytics.
In a recent interview with AIM Research, Swapnil Srivastava, the global head of Evalueserve’s analytics practice, discussed the intricacies of Business Intelligence (BI) modernization in the AI era.
Arjun Vishwanath, VP of Data Analytics at Evalueserve, discusses the power of Business Intelligence Modernization.
Sachin Bhat discusses the power of Business Intelligence Modernization.
Sujay Dutta discusses the power of adopting generative AI in business processes.
Discover how the focus of Wealth Management has shifted from information availability back to the quality of advice with the advancement of data analytics in the industry.
Well-integrated BI and analytics contribute to better decision-making, yielding benefits such as better business decisions and agility.
According to Investopedia, the field of business intelligence (BI) encompasses “the procedural and technical infrastructure that collects, stores, and analyses the data produced by a company’s activities.” Stressing its centrality, a recent CIO article describes it as: “strategies and technologies for analyzing business information and transforming it into actionable insights that inform strategic and tactical business decisions”.
Hari Baskar, Chief Data & Analytics Officer at SAB (Saudi Awwal Bank), was awarded with a Data Impact Award at Cloudera’s Evolve 2023 event for his significant contributions to data architecture modernization.
Fierce competition in a challenging economic environment has created something of an AI “arms race,” with rival companies trying to outdo one another by employing AI to augment their human expertise. Generative and predictive AI are increasingly in demand, across a wide range of use cases. Evalueserve is at the forefront of this new frontier in competitive, automated business analytics.
Customer Analytics Service Providers (CASPs) use AI-enabled domain experts to maximize automation and deliver insights to the right people at the right time. Find out how to make microservices, APIs, and reusable code work for your enterprise.
Discover how a tailored Business Intelligence strategy can drive your business forward by leveraging data analytics and technological tools. Stay competitive, optimize resource allocation, and uncover hidden opportunities with the right approach to BI. Avoid common mistakes and align your strategy with organizational goals for maximum impact.
With the AI revolution upon us, businesses have countless analytics and automation use cases to implement. Our CRUISE Framework takes the guesswork out of prioritizing an analytics and automation roadmap.
Exploring the importance of CDPs and providing practical tips for maximizing their value and ROI.
The modern business landscape is more competitive than ever. If you want to succeed, you need exact, timely information. In short, harnessing the power of BI leaves you better equipped to make informed decisions, identify opportunities, and remain competitive.
Want to stay ahead of the curve? Strap in and keep reading: We’ll cover everything from the latest BI-powered leadership trends, tools, and best practices to game-changing tips and resources for data analysts and front-line adopters.
In a recent blog post, we explained how business decision-making has changed and why your business must make data-informed decisions. Now,
The days of gut-feeling business decisions are over. Companies are increasingly looking to analytics-based decision-making.
With more novel drugs being launched and approved, pharmaceutical new product launch strategies need to evolve.
The COVID-19 pandemic has made the healthcare ecosystem and engagement for launch effectiveness more complex owing to the evolving needs of pharma stakeholders.
We’ve been reading up on all the good AI and data science articles on Medium and decided to highlight several of
Investment in artificial intelligence (AI) is soaring. AI funding has multiplied in recent years, it’s becoming more central to software platforms
Businesses are facing immense pressure to do more, and do it faster, across all industries. More organizations are focusing on improving
Back in 1950, Alan Turing repositioned the question “Can machines think?” as an engineering challenge. He called the challenge “the imitation game,” popularly known as the Turing test.
Businesses lose about $62 billion a year to poor customer experience (CX). Why? Because they have an incomplete picture of the customer experience and the problems at hand.
Computer Vision, a field of AI, enables computers to mimic the way humans see, analyze, and understand the visual world.
Global Healthcare Market – 2021 It’s been over 16 months since the start of the pandemic, and we are still fighting
Read this Q&A with Data Science leader Swapnil Srivastava, with over 15 years of experience in analytics consulting, strategy development, industry research and more.
Competitive Intelligence uses data-driven decisions to deliver success, learn why you need CI for your business.
One of the key advantages of D2C is that it allows companies to take full ownership over the entire end-to-end brand experience.
Highly uncertain market dynamics warrant the need to recalibrate topline strategy.
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.
Read how analytics can help maximize the potential of your human capital.
In recent times, my conversations with general managers have inevitably veered to the topic of Artificial Intelligence (AI) and Machine Learning (ML). What puzzled me was the lack of true understanding of these terms and the imprecision with which they were being used.
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.
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.
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.
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.
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
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
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.
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.
Investment in technology is not enough for successful digital transformation or how your customers perceive you as a brand.
Today’s market is fierce. Companies across sectors are faced with neck-to-neck competition, struggling to gain a competitive edge
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.
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.
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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