×
Get In Touch
We will call or email you ASAP to discuss your project and provide you with a free no obligation quote.
We take privacy seriously. We will never sell your email address to any 3rd party or send you nasty spam.
Data Fragmentation:
The client faced difficulties in accessing a unified view of business insights due to disconnected data spread across multiple systems.
Scalability and Performance Issues:
The existing systems were unable to handle growing data volumes, resulting in slow performance and delays in reporting in a timely manner.
Limited Data Analysis Capabilities:
The lack of advanced analytics tools and technology hurdled the client’s ability to predict trends and make data-conscious decisions.
Inconsistent Reporting:
Reporting processes varied across departments, leading to misaligned KPIs and inconsistent metrics across multiple departments and involved stakeholders.
Manual Workflows:
Many internal operations were manual, increasing the risk of human error, reducing efficiency, and complicating the existing workflow of the company.
To help our client overcome their challenges, we built a solution that brought all their data together, made it easier to analyze, and used technology to do things faster. We worked side-by-side with them to create a system that could grow with their business.
Unified Data Platform:
Advanced Analytics & AI/ML Integration:
Scalable Infrastructure:
Clear, Actionable Information:
Automation:
We knew we needed to connect their different systems and tools. So, we built a platform that could process and analyze data in real-time, giving them a clear picture(technical architecture below) of what was happening.
We will call or email you ASAP to discuss your project and provide you with a free no obligation quote.
We take privacy seriously. We will never sell your email address to any 3rd party or send you nasty spam.
AI/ML-driven analytics boosted forecasting accuracy by 25%, reducing overstock and stock-out situations by 20%, improving profitability.
The scalable infrastructure handled 50% more data, ensuring smooth operations as the client’s data demands grew.
Automation reduced operational tasks by 40% and cut human errors by 35%, leading to a 30% increase in productivity.
Standardized reporting eliminated 90% of discrepancies in KPIs, improving cross-department collaboration and strategic planning.
Real-time dashboards cut reporting lag by 60%, enabling faster responses to market changes and opportunities.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.
They have the experience and agility to understand what’s possible and deliver to our expectations.