• • Access to accurate and reliable data for a better understanding of the company and its environment.

• • Identifying trends and opportunities through the analysis of complex data.

• • Faster and more accurate decision-making based on concrete data.

• • Improving team productivity and performance through better resource allocation.

• • Improved risk and incident management through more accurate anticipation of events.

• • Better understanding of customer needs and expectations through customer data analysis.

• • Development of new products and services that meet the real needs of the market.

• Improving the company's competitiveness and agility.

ENICAL is committed to supporting you throughout the entire process, from defining your needs to implementing and operating your BI and Big Data solutions.

• A team of certified and experienced experts in the market's leading technologies (Microsoft, Oracle, Tableau, etc.).
  
• A thorough understanding of the needs of African businesses and the specific challenges of the continent.
• Integration and migration of your data to BI and Big Data platforms.
• Training and support for your teams to ensure optimal use of your BI and Big Data solutions.

 Project Business Intelligence (BI) focuses on the collection, analysis, and presentation of data structured for internal use in order to make informed business decisions. BI is like a microscope, allowing you to closely examine a small area of ​​data to draw specific conclusions. It's ideal for analyzing sales, marketing, finance, and other areas where data is relatively well-organized.

On the other hand, Big Data encompasses datasets structured, semi-structured and unstructured much larger and more complex, originating from internal and external sources, which require specialized tools and techniques to be analyzed. Big Data is like a telescope that allows us to observe a vast landscape of data to discover broader trends and patterns. It is used to analyze things like customer sentiment on social media, traffic patterns, and weather data.

How BI and Big Data can be used together:

Business intelligence (BI) and big data are not competitors, but rather complementary. BI can be used to analyze big data that has been previously processed and cleaned. Together, they can provide a more comprehensive view of the business and enable leaders to make more informed decisions.

For example, a company can use Big Data to analyze customer sentiment on social media, then use BI to identify the products or services that generate the most negative reviews. This information can then be used to improve products or services and increase customer satisfaction.

In conclusion, BI and Big Data are powerful tools that can be used to improve a company's performance. By understanding the differences between these two technologies and using them together, companies can make more informed decisions and achieve their business objectives.