Many companies consider investing in technologies to improve their business processes without realizing that the implementation of a new corporate business intelligence tool demands a well-designed deployment project. In this article we explain how to approach and plan Power BI projects to obtain optimal results.
In the age of digitalisation and data analysis, companies are turning to business intelligence as the foundation of the decision-making process. We talk about what business intelligence is, what business intelligence tools exist and how they relate to data analytics.
Applying data governance measures to corporate analytics systems has become an imperative for companies and businesses. Bismart has created a set of tools intended to empower organisations to apply data governance policies to Power BI: Power BI Viewer and Power BI Analytics.
Technology has transformed our world, it is undeniable. In the business world, this transformation has resulted, among other things, in an intensification of the dialogues between consumers and companies, as well as an increase in the customer's capacity for decision making and expression. Businesses have understood[...]
The task of choosing a PMS for a hotel chain or hotel is complex due to the number of factors involved. When choosing, there are always many questions that are not easy to answer:
Today, implementing a business intelligence tool in the company does not only allow for the extraction, organization and storage of the data generating a list of corporate reports, but it also offers the user reports that are impressive, interactive and immediate.
Business intelligence plays a fundamental role in the strategic decision making of any company. The term encompasses the set of tools, processes and infrastructures that companies use to identify and analyze business information. It is used for many purposes, such as measuring organizational performance. In addition,[...]
The rising of analytics and business intelligence adoption in companies is unstoppable, the number of analytics experts and data consumers is growing in a higher rate than resources in IT departments. So, analytics is evolving to a more user-friendly mode, using automation, natural language or voice processing; and to[...]