Analyze and consolidate large volumes of customer data in single storage to uniquely position your products and services in line with customer preferences and needs. Use dynamic dashboards and reports to spot potential selling opportunities and drive more revenue.
Become a top performer and whip your KPIs in shape through a fast and agile decision-making hub designed specifically for marketing and sales.
Using custom fintech business intelligence and Big data analytics solutions, you can collect, organize and analyze data related to the current state of business along with forecasting financials and planning your budget in advance.
Requesting our BI implementation services, you can benefit from:
Want to gain better insights into cost management, operations, and profitability? Inject our custom BI tools paired with predictive analysis to achieve visibility and proactive management across the entire manufacturing process.
Adopt smart BI end-user reports for streamlined inventory and invoice management. Visualize massive data for faster and easier decision-making. Detect anomalies and avoid equipment failures using disruptive technologies.
Turn to Big data development solutions to empower data-driven logistics processes for added operational efficiency and smarter flexibility. Ramp up order processing capabilities, optimize delivery routes, and forecast demand with easy-to-use BI solutions.
The InData Labs team assists logistics companies in devising a business intelligence implementation strategy to take advantage of logistics analytics and mold logistics data into valuable insights.
TCO and ROI estimation
Project scope / Deliverables
Data management plan / ETL
Back-end / Front-end
Our Client needed to improve the experience of its existing mobile solution aimed at baby care provision. We were challenged to audit and optimize the data and reporting options within the app so that both users and the app team could have more insights into the application data. InData Labs developed an implementation plan, enhanced the existing reporting platform as well as introduced dashboards within the application.
Our team was challenged with a comprehensive processing and analysis solution based on serverless data lakes and a custom BI solution for more efficient data processing and visualizations. InData Labs delivered a robust data architecture that enables consolidated analysis of historical construction projects and translates all insights into an all-in-one report.
The client employs an AI platform to help businesses across domains make effective use of their business data. Our team was hired to enhance the platform’s data processing capabilities with a data lake and tailor-made BI suite based on raw data. We built and deployed the solution that enables real-time monitoring of workflows across the given company.
Our client is a chemical manufacturer who needed an intelligent solution to analyze the chemical composition of mixtures, products, and test results. The existing data storage was based on complex, multi-format data that hampered effective analysis. Our data and BI engineers transformed the data and delivered a turnkey solution for real-time sales and product analytics with BI recording and scoring.
BI adoption is a process of transforming the business into a data-driven organization by integrating effective data processing, analytics, and visualization across the enterprise. It includes using information technology to transform raw data into useful information that can be used to make decisions and take action.
Organizations that aim to implement a business intelligence solution have to consolidate multiple databases into one central repository that can be accessed by all employees, making it easier to manage the business and dig up insights.
BI excellence helps companies organize and make sense of their assets so that they can be easily tracked and analyzed. Decision-makers can then drill down and get the input they need quickly, empowering them to act proactively.
Implementing an intelligent data solution also allows companies to accrue the following benefits:
Power BI implementation cost depends on the project complexity, data quality, sources, deadlines, etc. Thus, if the company has a mature infrastructure with consistent data governance practices, the costs will be lower than developing the whole infrastructure from scratch.
Overall, the average cost of implementing business intelligence starts from $25,000 and can reach up to $70,000 and more.
With a choice so wide, it can be challenging for companies to land the right tech partner. The main selection criteria include:
A Power BI server implementation is a mature BI solution and a key component of the Microsoft BI stack. It can be used as a supplement to an on-premise infrastructure with modern Power BI reports for easier visualization. The main advantage of using a Power BI server is that it allows you to scale up your reporting infrastructure without having to worry about capacity issues if you need more data or users.
Why is the proper design and implementation of the ETL process crucial to a BI project?
Extract, transform, load (ETL) is a process used to collect data from various sources, transform it into a format that can be used for further analysis, and load it into a target database. ETL plays a key role in business intelligence as it is responsible for populating data warehouses with the input that will be used for reporting and analysis.
Without ETL, data would remain in silos, unable to be used for BI. By extracting data from multiple sources, transforming it into a consistent format, and loading it into a warehouse, businesses can gain insights that they would otherwise be unable to obtain.
The post-implementation phase is crucial for the successful adoption of a business intelligence application.
First, it is important to ensure that all users are trained on how to use the application. This includes both the technical aspects of the application and how to interpret the data that is provided by the application. Second, an adopter should establish clear goals and KPIs for the application. This will help ensure that the application is being used to its full potential and that it is providing the most value to the business. Finally, regular maintenance and support activities help ensure low incident occurrence, proactive issue resolution, and reduced total cost of ownership.
Our experienced BI technology experts help organizations maintain BI applications and elevate existing BI solutions including analytics, reporting, ETL, and others. We are well-versed in a wide range of business intelligence platforms and databases to provide individual maintenance cadence for unique needs.
Power BI implements a wide range of security practices to keep users’ data secure, including user authentication, data and service security, and TLS version usage. Data security, in turn, comes on different levels. Row-level security limits a user’s ability to access certain data. It means that once you define filters within roles, these restrict access at the row level. Object-level security allows you to secure particular tables from report viewers. Moreover, you may select an isolation level that establishes the level of separation required between one data source and other sources.
Power BI adoption is a crucial step in your data analytics journey. It enables you to visualize, analyze and share insights from your data. You can use Power BI to get a better understanding of your business operations and make informed decisions faster.
The first step in the Power BI implementation process is defining your business requirements, objectives and scope. The team must agree on the key performance indicators (KPIs) that will be used to measure the success of the project. Once you get a clear vision of the value Power BI brings to the organization, it’ll be easier to get the buy-in of executives and stakeholders.
Once you have defined the objectives for the project, it is time to determine what input will be used in Power BI reports. For example, you can start your Power BI journey to unify cloud and on-premise data (ERP/CRM/TMS/WMS) and sync it with your business applications. Overall, this suite is applicable to almost every data source.
Securing a solid implementation team is another enabler of Power BI adoption. Therefore, you should identify a partner or vendor who can guide you in the Power BI journey. Choosing a vendor early on in the process will allow you more time to work with them on developing a roadmap that meets your needs and budget constraints.
The right vendor assesses your data maturity level and suggests the processes, tools, and architecture to address your needs. The final step in the PowerBI implementation process is developing an implementation plan roadmap based on your project scope and timeline.