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Business Intelligence Software Computer Globe
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Our (BI) business intelligence services will help you extract knowledge from your data, integrate it into (ETL) Enterprise Data Warehouse (EDV) and turn it into daily insights with interactive dashboards using tools like Power BI, Tableau or Looker .
Our business intelligence services will help you step into the data-driven world and modernize your existing business analytics systems and infrastructure
We’ll help you extract insight from the data you collect and turn it into valuable information.
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A team of BI experts and consultants helps companies, regardless of their size and sector, to gain a competitive advantage.
We increase operational profitability by successfully applying business intelligence tools and advanced data analytics to solve real business problems and gain insights.
You will work with an experienced Business Intelligence (BI) implementation team to implement data management and data analytics using various platforms such as Microsoft, Google, AWS, Oracle and Open Source technologies.
In all business intelligence projects, the data warehouse or data lake is a critical part of the data processing ecosystem because it controls data integration and complex master data management processes.
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In our projects, we do reporting using self-service tools that allow business users to be independent from the IT department.
The better the data integration, harmonization and delivered quality – the more advanced, reliable and insightful analysis is possible.
We use open source, on-premises, cloud, and commercially proven technologies for our business intelligence, big data consulting, and data science consulting.
At the very beginning of the project, our team will collect the requirements of the business departments, determine the specific project approaches, solutions and Business Intelligence technology that will best suit your organization.
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After the joint workshop, we will define how we will help you solve existing problems and improve your business performance using Business Intelligence tools and the application of analytics technology.
After defining the business objective, our team will collect and integrate data from various sources (eg ERP, transactional databases, file systems, flat files, Excel) into a single master database called a data warehouse or big data system.
Thanks to it, you will easily be able to access and manipulate different types of information from one place.
Collected and integrated data is transformed during the process of loading into a database system (ETL) and then prepared for research, ad-hoc analysis and modeling.
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We apply highly scalable data processing scripts to aggregate, clean and transform data into the appropriate format. After that, business users can analyze data, create ad-hoc queries and be self-sufficient using modern Business Intelligence tools.
Together with business users, defined problems are solved through conclusions from the data research process using data mining techniques and Business Intelligence tools. A developed OLAP or spreadsheet solution will organize and help you discover patterns in the data.
BI tools go beyond knowing what happened and when – they can predict with the highest probability why it happened.
We create rich, visualized dashboards and business intelligence reports that make it easy to share the most important information and KPIs inside or outside your organization.
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You can reduce user interactions and save time while the business intelligence system does everything for you. It helps businesses make the right business decisions at the right time and enables you to consciously manage organizations while improving KPI performance.
We helped a leading manufacturing company improve management efficiency by implementing an automated reporting system, covering human resources, operations, business and sales processes.
See for yourself how we solve business problems with a quantitative approach using business intelligence, data warehousing and analytics services.
We helped a multinational software company attract new customers and increase market share by implementing Data Science and Business Intelligence modules that help end users achieve their goals.
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Read more about See for yourself how we solve business problems with a quantitative approach using business intelligence, data warehousing and analytics services.
Their approach from the very beginning allowed us to improve the product taking into account all our requirements. The obtained result completely satisfied our company.
They have extremely deep knowledge of machine learning and BI. The modules they have created provide accurate and detailed reporting that allows for in-depth analysis of all KPIs and more.
We are proud to be among the top enterprise business and big data consultants in Los Angeles at Clutch
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We invite you to participate in our survey and share your thoughts on global AI trends in business. Business intelligence, or BI, is a powerful tool that helps businesses track data, analyze information and present it in a meaningful format. Companies that use BI for decision-making are 5 times more likely to achieve faster decisions and consensus than those that do not, revealing the importance of business intelligence in decision-making.
In this blog, we have introduced real-time business intelligence applications that can analyze data across industries. We have also prepared 10 examples of business intelligence that can serve as references and starting points for other companies.
Business intelligence refers to technologies that help organizations collect business data, perform analysis and present findings in a form that can be easily perceived by relevant stakeholders. Insights from data and visualizations help organizations make informed decisions and effective strategies.
Businesses that use business intelligence make informed, fast decisions. Given the competitiveness of today’s business environment, businesses must use business intelligence applications to stay ahead of their industry peers.
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Given the intense competition in today’s markets, BI applications remain the most sought after. Organizations are on the way to take advantage of BI and stay relevant to industry and market needs. From finance to retail and gambling, the use of business intelligence applications is spread across a wide range of industry domains, some of which are listed in the next section.
The BFSI (Banking, Financial Services and Insurance) domain faces several challenges, from intense competition to ever-increasing customer demands. Business intelligence techniques can help firms spot emerging trends and patterns, monitor the effectiveness of their products and services, mitigate the risk of unknowns, and build new investment strategies.
Banks and firms in the financial services sector can automate the end-to-end loan application and processing process. Using relevant BI applications, customer data can be collected from various data sources, stored and made available to relevant stakeholders. This prevents silos and increases transparency in the process.
Similarly, financial companies can use business intelligence applications to mitigate the risks associated with many of their products and services. Based on the customer’s transaction history, earning potential and financial resources, companies can assess the risk of granting loans or other debt instruments such as credit cards.
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Business intelligence applications can track performance and revenue data for various products and services. Based on the collected data, companies can identify those offers that are profitable and those that are not. Asset managers can perform sentiment analysis using client data and build investment strategies.
Using the right BI applications helps manufacturing companies improve operational efficiency. Business intelligence applications help stakeholders gain a complete picture of their supply chain. Analytics derived from such tools help businesses make reliable forecasts and manage inventory. In this way, the delivery time is shortened and the company’s ability to fulfill the requirements exactly on time is increased.
With data on workstation capacity and human resource availability, BI tools help manufacturing firms plan their production process to efficiently utilize available resources. How stakeholders can gain complete insight into
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