A Long-Standing Qlik and Talend Delivery Partnership

Qlik Elite Channel Partner

Qlik Partner 2025 Expert, Financial Services

Qlik Partner 2025 Expert, Healthcare

Talend Cloud Expert Partner

Talend Data Governance Expert Partner

Talend 2021 Premier Partner

Qlik Partner Advisory Council

Qlik North America Best Enabled Partner of the Year 2023

Badges shown are the issued Qlik and Talend partner emblems held by Artha Solutions. Expertise designations are awarded per competency and carry the year of assessment.

1. 01

   Talend foundations

   The practice started in enterprise integration and data quality, building and running Talend platforms for organisations whose reporting depended on them. Working on estates in production, rather than in proof of concept, is where the operational habits came from.

2. 02

   Governance growth

   Clients kept arriving at the same next problem: pipelines worked but nobody owned what the data meant. Delivery extended into quality, stewardship, catalog and MDM because integration alone never resolves a definition dispute.

3. 03

   Partner recognition

   Talend and Qlik awards across enablement and customer success. These recognise delivered work and enablement depth, which is a different claim from a resale tier and the one worth checking.

4. 04

   Cloud modernization

   As estates moved, the work became architecture and migration rather than new build: deciding what to convert, what to redesign and what to retire, then running the result. Most of these programmes were hybrid for years, not for a weekend.

5. 05

   Combined ecosystem

   Qlik and Talend converging under one vendor matched how the work was already being delivered. Integration, quality, governance and analytics were being designed as one foundation because clients experience them that way.

6. 06

   Data and AI foundations

   Current work is open lakehouse architecture, business-owned data products and governed knowledge assistants. All three depend on the same unglamorous foundation, which is why AI programmes stall on data readiness rather than on models.

This narrative intentionally avoids invented annual milestones. Exact partnership-year wording remains subject to content-owner confirmation.

• One accountable lead per engagement, in the client's own time zone, so escalation does not depend on a handover note
• Overlap hours agreed up front rather than assumed, since a follow-the-sun model without overlap is two teams working from the same backlog
• Handoffs carrying state, not status, so work resumes where it stopped instead of being re-explained each morning
• Security boundaries and data residency settled by region before build, including which environments offshore teams may access and what data those environments hold

Production support responsibilities, coverage windows and response expectations are documented in the same way. The point of the model is longer effective coverage at sensible cost, and it delivers that only when these details are written down rather than left to goodwill.