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Addend Analytics LLP

Employees
38 employees
Founded
Est. 2018
Certifications
1 certification

What does Addend Analytics LLP do?

Addend Analytics LLP is a data analytics and Microsoft business applications consultancy specializing in Power BI, Microsoft Fabric, and Dynamics 365 Business Central. The firm delivers end-to-end analytics and business application services including BI strategy and architecture, Power BI development (including embedded and custom visuals), Microsoft Fabric implementations, Azure data engineering (Synapse, Databricks, ETL) and cloud migrations. On the ERP side, Addend provides Business Central consulting, implementations, upgrades and migrations (Dynamics NAV/GP/QuickBooks to Business Central), staff augmentation, and technical customizations. They also offer Power Platform development (Power Apps, Power Automate) and AI/ML, cognitive services and bot framework solutions to operationalize intelligence. Addend serves mid-market and enterprise clients across manufacturing, retail/CPG, finance, real estate and non-profit sectors. The company highlights rapid delivery, ISO 9001:2015 certification, and global delivery capability with offices in the USA (Alpharetta, GA), UK (London) and India (Navi Mumbai). Their services emphasize practical data-driven transformation — combining analytics, cloud migration, ERP modernization and ongoing support to help customers operationalize insights and improve business performance.

What do clients say about Addend Analytics LLP?

Client reviews

4.2(10 reviews across client platforms)
What clients are sayingabout Addend Analytics LLP

Addend Analytics LLP has earned a client rating of 3.5 out of 5 based on two reviews. Clients appreciate the organization for its motivated staff and modern business ideas, but feedback also highlights room for improvement in certain areas. The positive aspects of Addend’s approach are often overshadowed by concerns related to database implementation.

Review theme
Team Motivation(2)
Review theme
Modern Business Ideas(2)
Review theme
Database Implementation(1)

Generated from client reviewer feedback across all platforms

Breakdown by platform

Reviews on Top Dynamics Partners

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Working at Addend Analytics LLP

Employee reviews

3.4(20 employee reviews)

Breakdown by platform

  • Glassdoor
    3.4(20)

Actively Hiring

3 open rolesSelective hiring
Hiring TechHiring Sales
Power PlatformAzure
bde associatebusiness development executivesales engineer
Salary range: $13k – $350k / year
Senior Business Development Executive
Navi Mumbai, Maharashtra
Full-time
BDE Associate
Kharghar, Navi Mumbai, Maharashtra
Full-time
₹2,50,000 - ₹3,50,000 a year
Sales Engineer
Kharghar, Navi Mumbai, Maharashtra
Full-time
₹13,000 - ₹15,000 a month
Hiring in Navi Mumbai, Maharashtra, Kharghar, Navi Mumbai, Maharashtra
Via indeedUpdated Mar 2026

Microsoft Certifications

These credentials are issued by Microsoft to partners who meet advanced performance, capability, and customer-success criteria.

Specializations

Insights & blog posts from Addend Analytics LLP

10 posts analyzed

4 Myths About Enterprise AI Pilot Production Failure That Are Holding Organisations Back

Enterprise AIMar 10, 2026For: CTOs, CIOs, and COOs at mid-market firms

AI pilots often fail to transition to production due to data and organizational challenges rather than model metrics. Successful AI implementations require robust engineering, effective governance, and continuous monitoring to handle realities like data drift and changing business contexts. Addend Analytics provides a structured approach for mid-market firms, integrating solutions like Microsoft Power BI and Microsoft Fabric to ensure AI models become valuable operational tools.

Key takeaways

  • Many AI pilot projects stall due to data and organizational issues, rather than technical performance metrics.
  • Successful AI transitions from pilot to production require robust data engineering, governance, and ongoing monitoring.
  • Choosing the right tools alone won't ensure success; governance and clear decision use cases are crucial.
  • Mature data operations and governance are decisive factors in AI production success, regardless of the technology used.

Products covered

Microsoft Power BIMicrosoft Fabric

How to Implement a Law Firm Analytics Accelerator – Cost & Implementation

Power BIMar 10, 2026For: Law firm decision makers evaluating analytics solutions

Implementing a law firm analytics accelerator can stabilize financial decision-making and enhance profitability reporting. By leveraging Microsoft Power BI, firms can deploy pre-built dashboards and data models to create a structured pilot that addresses fragmented data and inconsistent financial logic. Essential conditions for success include leadership alignment, data access, and a firm-wide standardization of profitability models, allowing for scalability and reduced reporting friction within a quarter.

Key takeaways

  • A law firm analytics accelerator helps standardize profitability models and improve reporting without lengthy BI projects.
  • Key conditions for successful implementation include leadership alignment, data access, and a clear decision-making framework.
  • The accelerator uses Microsoft Power BI to deploy pre-built dashboards, enabling controlled pilot phases before scaling firm-wide.
  • Successful usage reduces reporting friction and supports evidence-based pricing and partner compensation decisions.

Products covered

How to Structure a Manufacturing Analytics Proof of Concept Before You Scale

Manufacturing AnalyticsMar 9, 2026For: CIOs and COOs at manufacturing companies

To ensure a manufacturing analytics proof of concept succeeds, it is crucial to validate decisions rather than merely showcase dashboards. This involves defining executive ownership, securing data access, and standardizing KPI definitions across sites. By running a controlled pilot with parallel reporting, discrepancies can be identified and addressed, allowing for data-driven, risk-reduced scaling decisions on platforms like Microsoft Power BI and Microsoft Fabric.

Key takeaways

  • A successful manufacturing analytics proof of concept (PoC) must validate decision-making rather than just present dashboards.
  • Defining executive ownership, secured data access, and documented success criteria are essential prerequisites before starting a PoC.
  • Standardizing KPI definitions across sites prevents inconsistencies and ensures reliable decision-making insights.
  • A controlled pilot with parallel reporting is vital to avoid disruptions and to validate metrics before full-scale implementation.

Products covered

Microsoft Power BIMicrosoft Fabric

How to Evaluate a Dynamics 365 Implementation Partner [2026 Checklist]

Dynamics 365 and Microsoft Business Central implementations represent significant capital investments—typically ranging from $150,000 for SMBs to $5 million+ for enterprises. Yet the determinant...

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