Analyze large volumes of customer data to reshape your products and services so you can better match current needs with smart analytics. Use the analytical reports to spot the potential selling opportunities and drive more revenue.
Advance the company’s efficiency through data vizualization and faster decision making with custom software for marketing and sales.
Using custom fintech business intelligence solutions, you collect, organize and analyze data related to the current state of business, forecast and plan ahead.
With BI tools you can benefit from:
Want to keep productivity management under control? Apply predictive analysis for potential production bottlenecks and improve the workflows. Detect anomalies and avoid equipment failures using disruptive technologies.
Adopt smart BI end-user reports for streamlined inventory and invoice management. Visualize massive data for faster and easier decision making.
Implement Big data analytics solutions in the logistics industry for data-driven processes like order placement, shipment and delivery, payment and return operations. Analyze and manage Big data with reliable BI solutions that assist in systematizing, visualizing, and making Big data simple to comprehend and use.
The InData Labs team offers BI implementation services for you to take advantage of logistics analytics and mold logistics data into valuable insights.
Bussines Requirements
Functional Requirements
Infrastructure Requirements
Project Plan / Scheldule
Deliverables / Milestones
Resource / Funding Plan
High Level Design
Low Level Design
Data Management Plan
Data Warehouse
Data Integration / ETL
Reporting / Analytics
System Guide
Training Guide
Reporting Book
BI implementation refers to the process of analyzing business information. It helps mine, analyze, and visualize large volumes of business data. With vizualization in place, it’s easy to make decisions and reshape business strategy in accordance with business needs.
Business intelligence solutions customized for specific business requirements insure:
A data warehouse (DW or DWH) stores data for comprehensive analysis and later on, decision making. Data warehouses are built to enable business analytics activities.
It depends on the project complexity, data quality, and sources, deadlines, etc. The average BI implementation cost starts from $25,000 and can reach up to $70,000 and more.