Blog

In today's competitive business landscape, maximizing profitability and unlocking your organization's true potential are critical to sustained success. PI Profitability Solution, powered by the IBM Planning Analytics with Watson platform, helps you achieve precisely that.

In today’s digital age, data has become just as important as the products themselves. But for it to become valuable, data needs to be governed. In this article, you will learn how to implement a data governance strategy, as well as how data maturity assessments can help your organization get from simple data management to real-time data governance.

Data governance is the most important, yet most overlooked, part of creating an enterprise-level analytical system. It’s the key to making data-driven business decisions, but many enterprises don’t do it right – or not at all.

People Analytics helps organizations understand their workforce as a whole, departments or work groups, and individuals. It makes data about employees' characteristics, behavior and performance more accessible, interpretable and actionable.

Databricks has been making waves for the last couple of years with their continuous innovations: Apache Spark, Delta Lake, MLFlow and the Lakehouse concept. Why are they so popular in data analytics world? And more importantly: why should you trust them with your data?

In this article we will show why is Data governance a vital component for Basel standards (BCBS) compliance in the banking industry.

Microsoft Excel is one of the most commonly used tools for strategic planning and users are very familiar with it, about 60% of businesses were still using Excel in recent years. Because of this, one might expect that people using it have a favorable view of Excel planning. While Excel is familiar to users, it has many downsides for planning. It requires a lot of manual processes and correction, is prone to errors, has poor or lacks at all version control, and tends to be very slow, maybe even break, when using a lot of data. In this article, we are going to address a few of them and how to minimize them by adding IBM Planning Analytics to Excel.

“You don’t have to see the whole staircase, just take the first step.” – Martin Luther King, Jr.

Budgeting and forecasting have become an important and inevitable part of leadership tools. Budgets for the next year and forecasts of the current year should be made available to all personnel from strategic to operational levels, it should integrate the whole organization and lead management in making their decisions. However, when the company’s budgeting period starting date is approaching, such a great idea for most of the employees responsible for coordinating and creating a budget (usually controllers) turns into a nightmare.

At some point in time, you've probably come across the term Data Science and like the majority of people, it sounded interesting, but also complicated. So many terms, statistics, but no examples of how to use it for your business. Today, we are going to show you how to use text analytics to understand your customers and business better.

Hundreds of new analytics tools appear every year, but how to determine if any of the tools are the right choice for you?

Every day a mass quantity of data is being produced, and without proper analytics solution, we can surely say we would be drowning in data. This is why data analysts are in demand across the market in all industries.