How we can help
Holistic Data Analytics Approach
Our team of BI experts starts by gathering your business requirements. Once we have an overall understanding of your business goals and requirements, we determine the solution, approach, and technology that will perfectly fit your business needs.
Data Transformation and Integration
Whether it’s cloud-based, on-premises, or a hybrid approach, we construct secure and adaptable data architectures to form the backbone of your data and analytics endeavors. Our aim is to foster the utilization of top-notch, pertinent, and accessible data, ensuring scalability that seamlessly aligns with your business growth.
Tailored Dashboard Creation
Whether you’re fine-tuning your reporting, migrating to a new analytics platform, selecting the right tools, or seeking deeper insights from your data, we’re here to assist in deploying and optimizing your enterprise-wide analytics solution.
Advanced Analytics and BI Tools
Our team brings deep expertise in business intelligence tools and strong partnerships with top analytics providers. We’ll work closely with you, considering your unique needs, to handpick the perfect solutions that empower your team and elevate your business insights.
Technology Training and User Adoption
Collaborating closely with you, we’ll craft user-friendly, dynamic dashboards and reports that enhance data analysis, empowering decision-makers to swiftly grasp successes and areas needing attention. We set up solutions with the end-user in mind, offering extra training to help them make the most of your analytics tools.
Our Main Technologies
- Standalone Solution: comprehensive reporting and analytics solution for enterprises of all sizes.
- Data Access: Connects to over 40 different data sources and databases, including SQL2019, Hadoop, MongoDB, Azure, and Spark-based architectures.
- Microsoft Integration: Seamlessly integrates with other Microsoft products, including Office 365.
- Embedded Analytics: Allows seamless analysis directly within business applications.
- Power Modules: Features Power Query, Power Pivot & Power View
- Impressive ETL process – handles really big data from multiple sources.
- Can operate with no Data Warehouse/ Data Mart.
- Speed – instant calculation performance and high number of users.
- Advanced Analytics – helps users predict trends and opportunities
- Data compression & Loading speed – optimized loads and native storage format speed up the load
- Data export to Excel – allows users to extract report data directly to Excel
FAQ
It depends on the project size. The implementation of BI software can last from a few weeks to several months. Most of the companies, after the BI implementation, start to observe numerous benefits and decide to extend their system by adding new areas and functionality.
Business Intelligence systems should be implemented according to the priorities and importance of data sources. Starting from the implementation of the functions most important for company. The most popular is sales area and financial module.
High quality of data in Business Intelligence has significant impact on further successful implementation. A data warehouse (DWH) is a data management system that stores large amounts of data from multiple sources for later use in processing and analysis. In BI system DWH is the backbone of data storage. Building a DWH is a complex process. To do this experts use ETL/DQ processes. Most of the companies have their own DWH team that is preparing and standardizing the data for the BI team to analyze it afterwards.
Business Intelligence implementation should start simple by defining your objective, needs and data availability. The further key implementation steps are:
- Appoint team to be in charge of BI implementation
- Be aware of your data
- Take thought for BI KPIs you’d like to observe
- Select the right BI tool
- Build the infrastructure
Some of the key performance indicators of Business Intelligence implementation strategy are:
- Adoption – the number of BI users across the organization
- Quality – data quality and overall system reliability
- Speed – no excessive wait to load a report
- Ease of use – intuitive and agile BI solution
- Cost efficiency – the actual financial lift vs initial budget
- Satisfaction – BI implementation meets or not the users’ expectations
Typical threats coming with the implementation of Business Intelligence systems are:
- Low adoption of BI tools
- Data quality issues
- Lack of user training
- The Excel culture
- Bad cost estimation
- Bad implementation timeline estimation
- Chaotic BI development process
