Forecasting is the process of making prediction of the future based on past and present data.

In many cases…

Highlights of Retail automation 

In 2019, Economist…

Introduction

Data science is driving the industry crazy. It is trending everywhere. Everyone is talking about data science. Whether it’s data science in the industry or data science as a career. Over time, it has become like a superhero! Along with this, we all have frequently heard…

Integration of technology in different industries and business sectors has been obvious. The digital transformation streamlines various processes effortlessly. Although the manufacturing industry has been slow to embrace technology. But the right time is here for the production sector to improve decision making and performance from…

The opportunities of the modern market, with its eCommerce and multiplicity of…

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Artificial Intelligence (AI) has numerous applications for small businesses and is not something meant just for large corporations. No one can deny the…

We exist in a world where data is everywhere, not just data but an augmented data. Digging through this data is challenging but enforceable with the right tools. Today, a Business intelligence app makes business goes thrive. There are numerous advantages of business intelligence, and companies are utilizing it more effectively. If your business didn't feel…

We live in an information age where the world of almost every organization revolves around data. Big Data is a field that has been working on the swaths of consumer data for driving valuable outputs. 

This is when companies are…

Mouth-watering dishes, some secret sauces, relaxed ambiance, expert chefs. 

Is this enough to run a restaurant business successfully…

Embedded analytics allow users to integrate business intelligence and its processes into another software application.

Embedded real-time reports and dashboards allow end customers to cheque the data saved in the product…

 

Business intelligence (BI) applications have been around for quite a while, and they've changed the manner in which companies measure and…

The development of business intelligence

Like many technologies, business intelligence models are also evolving. From the early days when BI was limited to excel worksheets, data was mainly stored on paper. Today, BI platforms have evolved so much that they define the course of action for organizations with new and novel approaches to improving efficiency in production, delivering sales and service experience to customers. In addition, knowing where our customers are,…

Even the layman would know that the manufacturing industry is an inherently complicated endeavor, owing to the many, many factors involved. It has been at the center of some intense change and a lot of this can be ascribed to technology. The evolution of technology over the past few decades has empowered the industry with countless tools and resources, allowing companies operating in the space to continue on the path to growth. Unfortunately, there is one technology that seems to be a tad…

Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets.

Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and…

As a data scientist in an organization you frequently find yourself in a couple of situations:

Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need to know on a very fundamental level: "What problems do ML & DL try to solve?" A simple, high-level answer to that question is: "It's all about building systems that do certain things better than humans, with as little intervention by humans as possible." That being said, the simplest way to distinguish between ML and its branch DL…

Business intelligence is important for every business. But, there is a lot of confusion about business intelligence.

This is mainly because BI has been defined in different ways. So, we thought what’s better than talking about business intelligence. We dived into the history pages and compiled a list of definitions and examples that will help you understand this concept better.…

Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and potential prospects; Big data is referred to as the complex humongous data. It is not a new fad in the analyst industry. Organization requires making top-notch decisions using big data as an essential component in…

Summary:  Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models.  Not the least of which is that improving your models doesn’t always lead to improving business outcomes.

The adoption of AI/ML in business is at an inflection point. …

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…