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The Sound of Networking Phone & WhatsApp: +90 531 502 06 41 Email: contact@fintechmatcher.com
Le partenaire web focus sur la performance.
Développement Web & Mobile et Design UX/UI
Expertos en Estrategias Holísticas y Growth Marketing
Trabajamos el Marketing Digital en Bilbao hablando como humanos, emocionando y conectando.
We help you to build delightful and powerful digital products that make your business strive.
Rendons le monde meilleur, grâce à la technologie.
Digital transformation tailored !
We combine data, art and technology to create what matters; connecting and growing businesses.
CRM | Partner Portal & Extranet | AI Solutions | Automations & Integrations | Web & Mobile Apps
Digital Strategies based on Data Analysis
We make your digital ideas come true
Stratégie et Création Digitale sur mesure
IT Digitalization, SAAS Development, Digital Marketing, Open ERP Odoo, Cloud Computing...
Top Online-Marketing
Freedom to Grow Strategy - Media - Performance - Create
Bridging multiple scaled ideas to Digital high-end customization
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Business intelligence (BI) developers transform data into insights that help businesses make better decisions. They design, build and maintain BI systems, which may include data warehouses, data lakes, databases, reporting and analytics tools. As a BI developer, you'll need to have strong technical skills, as well as be able to understand the business needs of your organisation. You'll need to be able to work with large volumes of data and be able to understand how to best organise and present it. You'll also need to be able to work with different stakeholders to understand their needs and requirements.
Business intelligence (BI) is a process for analyzing data and turning it into information that can help improve business decision making. BI includes a wide variety of tools and techniques for gathering, storing, and analyzing data to support decision making.
BI can be used to support a wide range of business decisions, from operational decisions such as where to open a new store or how to improve manufacturing efficiency, to strategic decisions such as which products to develop or which markets to enter.
Most BI applications use some form of data warehousing, which is a process for collecting and storing data from multiple sources in a central location. Data warehouses provide a single, consistent view of data that can be used for reporting and analysis.
BI applications also typically use OLAP (online analytical processing), which is a process for rapidly retrieving and analyzing data from a data warehouse. OLAP tools provide users with the ability to interactively explore data to answer questions and identify trends.
BI applications can also make use of data mining, which is a process for automatically discovering patterns and relationships in data. Data mining can be used to identify customer segments, predict future behavior, or find hidden risks.
Finally, BI applications often include some form of dashboards or scorecards, which are visual displays of information that can be used to monitor performance or track progress against goals. Dashboards and scorecards can be customized to show the information that is most important to a particular user or decision maker.
The term business intelligence is used to describe a set of tools and techniques used to organize and present information in the most useful way. This type of analysis enables companies to make informed decisions and identify trends that will help them achieve their long-term and short-term objectives. However, not every business will benefit from business intelligence in the same way. For example, a local bakery might not require a sophisticated analytics and reporting software.
The terms business intelligence and data analytics are often used interchangeably, but there are important differences between the two. Business intelligence is focused on providing insights that help businesses make better decisions, while data analytics is focused on uncovering patterns and trends in data.
Business intelligence tools typically provide users with access to data that can be queried and analyzed. Data analytics tools, on the other hand, often require users to have some coding skills in order to extract meaning from data.
Data analytics is a more broad term that encompasses a variety of techniques for analyzing data, while business intelligence is more focused on providing insights that can be used to make business decisions.
So, while the two terms are related, they are not interchangeable. Business intelligence is focused on providing decision-makers with the information they need to make better decisions, while data analytics is focused on uncovering patterns and trends in data.
A business intelligence developer is responsible for the development and maintenance of an organization's business intelligence system. This system typically includes a data warehouse, a reporting tool, and an OLAP cube. The developer works closely with business analysts and users to understand their needs and develop solutions that help them make better decisions.
The developer is responsible for designing, developing, testing, and deploying the business intelligence system. They must have a strong understanding of data warehousing concepts and ETL processes. They should also be skilled in programming languages such as SQL, PL/SQL, and T-SQL. In addition, the developer should have experience with reporting tools such as Cognos, Business Objects, and Crystal Reports.
The business intelligence developer plays a vital role in an organization's decision-making process. They provide the tools and information that business users need to make informed decisions. Without a business intelligence system, decision-makers would be relying on intuition and guesswork, which can lead to costly mistakes.
A business intelligence developer typically has a bachelor's degree in computer science or a related field. Some employers may require experience in a specific industry or with specific business intelligence software.