In today’s data-driven world, the ability to tell compelling stories with data is not just reserved for data scientists and analysts.
Telling stories with data: An essential skill for everyone. Read More »
While there are various BI tools available, Microsoft Excel is still a popular choice among businesses.
Use Microsoft Excel for BI with these three tools. Read More »
Off-the-shelf business intelligence (BI) tools like Power BI and Tableau allow businesses to gain insights from their data.
Don’t buy Power BI [yet]. Get a data application instead. Read More »
A dashboard can have all the fancy charts but still fails to provide relevant insights and add value. This can be a big challenge for businesses that are now investing in business intelligence tools (BI) and need quick wins to justify further investments.
4 Steps to Creating Better Dashboards. Read More »
Data visualization libraries are becoming increasingly popular. Sometimes, it can be difficult for data scientists to choose the right one for their next project. This article compares four popular Python libraries for data visualization: Bokeh vs. Plotly and Seaborn vs. Matplotlib. Bokeh Vs Plotly Bokeh and Plotly are both open-source libraries that allow users to
Bokeh vs Plotly; Matplotlib vs Seaborn: A comparison Read More »
The past 5 years have been huge for the field of artificial intelligence (AI). Researchers and developers have made amazing progress in AI, making it better and more advanced. There have been a few standout achievements in the past 5 years that are worth mentioning. The Google Translate app added a feature in 2017 called
The Innovations and Possibilities of AI: A Look Back at the Last 5 Years Read More »
Being a solopreneur can be a challenging and lonely experience, but with the help of artificial intelligence (AI), it can also be easier.
Maximizing Productivity as a Solopreneur with AI Tools Read More »
When businesses invest in new technology, they must consider the potential benefits it can bring to their operations. The excitement of new technology can often cause businesses to overlook the practical applications of such tools, leading to wasted time and resources.
AI-based Tools for Business Communication: A Look at Grammarly and Tidio Read More »
Data cleaning is an essential step in data analytics that ensures that only complete, correct and relevant data is used for analytics and decision-making. The need for data cleaning arises due to a variety of reasons. For instance, datasets created by combining data from different sources may require extensive cleaning. This is because differences in
Artificial intelligence (AI) is transforming the way businesses operate, from improving customer service to optimizing supply chain management. However, to generate value with AI, businesses need a combination of technical and non-technical skills.
Skills Businesses Need for Artificial Intelligence Success Read More »
