Skip to content Skip to footer

Make data trustworthy

Unlock your data from legacy database, break free from limitations of data exports and limited Data analytics. Data Transformation for various analysis, functions and success of AI usecases
data transformation

Data Ingestion

You will be importing large, variety data files from multiple sources into a single, storage medium which could be a clous based data warehouse, data lake or data lakehouse, where it can be accessed and analyzed

Data Accessibility to feed AI models most recent and complete data

Data Transformation

You will get cleaner, more usable data! Data transformation removes errors, inconsistencies, and incompatible formats, making your data ready for analysis and modeling. Get better results, easier analysis and data-driven decision making

Data Observability

You will better monitor your data in motion, detect and resolve data quality issues in real-time. Observability helps to eliminate the impact of data snags and adds trust around data centred processes

Still Using Excel Exports?
Talk to a Strategist

clear backlogs

Medical Center breaks Information Silos

10+ partners | 20+ Nationalities | 5+ super speciality

Our customers are achieving MORE

supply-chain (1)

ChangeData Capturing for Supply Chain Business

Enabling CDC in Azure SQL | Fetch and Display on PowerBI

trusted globally

❝ Himcos is a reliable partner, Anuj at Himcos is easily approachable. They ensure timely delivery with quick turnaround. ❞
David Sauer
Head of KOPFSPRINGER Consulting

FAQs

Updates for business apps are bundles of improvements, enhancements, and new features designed to address specific challenges or needs within your app. These updates can benefit your company by improving usability, enhancing security, increasing performance, and keeping your app relevant in a competitive market.

Setting AI Goals involves aligning technology with your business strategies. By doing so, you ensure that AI initiatives are focused, measurable, and directly contribute to your organizational success. Clear goals lead to better resource allocation and a higher likelihood of achieving desired outcomes.

Clearing backlog is crucial for a smooth transition to AI systems. When you ship features using a Minimum Viable Product (MVP) approach, you eliminate accumulated backlog. This ensures that AI systems work with the most current and relevant data, improving their performance and accuracy.

Aligning AI technology with business strategies requires understanding your organization’s goals. We assess how AI can support those goals, identify relevant use cases, and create a roadmap for implementation.

High Impact Updates solve Value Crises for Struggling Business Apps

Simplify your requirements to define an early strategy