Data Analytics & Management Services

From disconnected business data to a trusted and actionable source of truth with Power BI, Dynamics 365, Power Platform, AI, and Microsoft data technologies. Connect data across systems, improve data quality, and create reliable insights for better business decisions. Turn real-time data into clear dashboards, smarter processes, and measurable business outcomes.

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350+

Projects Delivered

98%

Client Satisfaction

10+

Years Experience

What are data analytics and management services?

Data Analytics & Management Services help companies collect, combine, organize, manage, analyse, and present data so teams can rely on accurate information and make faster decisions. DynovateTech provides consulting in the field of data analytics, data management, Power BI, Dynamics 365 reporting, AI-driven analytics, and business intelligence in order to design interconnected data environments.

Create connected data ecosystems
Ensure data quality and consistency
Deliver centralized data environments
Drive Power BI dashboards
Automate reporting and data workflows
Leverage AI-powered business insights

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What are data analytics and management services?

Our Data Analytics & Management Services

Your business data should not be confined merely to spreadsheets, databases, ERP systems, and CRM platforms. With DynovateTech you can connect the dots through data integration, analytics, management, visualization, governance, and AI-powered intelligence.

Data Analytics & Management Solutions

Connect, manage, and analyze your business data to gain actionable insights.

Data Analytics Consulting

Evaluate the data situation you currently have, your reporting practices, your business objectives, and your technology environment in order to develop a practical data analytics strategy for your organisation.

Data Integration & Consolidation

Combine Dynamics 365, CRM, ERP, Microsoft 365, the Power Platform, databases, APIs, spreadsheets, and third-party applications in order to integrate the reporting and analytics environments.

Data Management & Governance

Improve the reliability of data, allow data to be analysed, and provide integrated data environments which support consistent business information through data cleansing, validation, defining ownership, implementing access controls, and standardisation.

Power BI & Business Intelligence

Use Power BI to create interactive dashboards, reports, KPIs, and business intelligence solutions from operational and financial data.

Data Migration & Modernization

Move the data from old applications, spreadsheets, databases, or business platforms into Microsoft data environments in order to maintain data integrity and ensure business continuity.

AI-Powered Data Analytics

Combine reliable business data with AI-driven analytics, predictive insights, natural-language queries, Microsoft Copilot, and intelligent automation to discover business value.

Build a Connected Data Foundation Across Your Business

For data analytics to produce accurate and consistent results, it is necessary to have connected data; DynovateTech is able to assist you in designing a connected data foundation so that your ERP, CRM, Power BI, Power Platform, business applications, and data sources can function together.

01. Connect

Bring Disconnected Data Together

Connect Dynamics 365, ERP, CRM, Power Platform, Microsoft 365, databases, APIs, and third-party apps to unify your business data.

Data Integration • API Integration • ETL • System Consolidation

02. Manage

Build Data That Scales With Your Business

Arrange, organise, tidy up and keep your business data in good order so that the analytics environments can keep up as the amount of data, applications and reporting needs increases.

Data Modeling • Data Management • Data Migration • Data Quality

03. Govern

Make Business Data Reliable & Controlled

Establish data ownership, quality rules, access controls, validation, and governance to maintain reliable business information.

Data Governance • Data Quality • Access Control • Master Data

04. Analyze & Act

Turn Data Into Actionable Business Intelligence

Use Power BI, the reporting features of Dynamics 365, AI-driven analytics, predictive insights, and automated reporting in order to convert information into decisions and actions.

Power BI • Business Intelligence • Predictive Analytics • AI Insights

05. Connected Data Outcomes

Establish data ownership, quality rules, access controls, validation, and governance to maintain reliable business information.

Integrate • Consolidate • Analyze • Automate • Optimize

06. Automate & Optimize

Use insights from your business data to automate repetitive processes, improve workflows, identify inefficiencies, and continuously optimize business operations.

Process Automation • Workflow Optimization • AI Automation • Continuous Improvement

Why Businesses Choose Our Data Analytics Services

Turn business data into actionable insights, improve decision-making, and support smarter, data-driven growth.

80%

Faster Decision-Making

Access real-time business insights across departments.

30%

Reduced Administrative Tasks

Automate routine workflows to save valuable time.

90%

Data Accuracy

Keep financial and operational data accurate and centralized.

75%

Higher Team Productivity

Empower employees with connected Microsoft business tools.

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Data Analytics Solutions for Smarter Business Operations

DynovateTech develops data analytics solutions in accordance with your business operations, linking your business data to the people and processes that need it.

Sales & CRM Analytics

Connect your CRM and sales data to interactive dashboards. These dashboards help you track sales pipeline activity, performance, trends, conversions, and revenue KPIs.

Finance & ERP Analytics

Link the ERP system with financial data in order to gain financial and operational insights regarding revenue, expenses, profits, budgets, inventory, procurement, and performance.

Operations & Supply Chain Analytics

Look at the operational data relating to inventory, purchasing, production, logistics, and supply chains in order to identify trends and performance gaps.

Customer & Service Analytics

Combine data on customers, the services they use, and their interactions in order to gain an understanding of customer activity, performance, responses, and business relationships.

Executive Dashboards

Equip leadership teams with custom dashboards, KPIs, trends, and business insights rather than relying on manually prepared reports.

AI-Driven Business Intelligence

Use AI-driven analytics together with natural-language interaction when dealing with business data in order to find information, spot trends, summarize large datasets, and discover relevant insights.

Turn Your Business Data Into Actionable Intelligence

Don't depend anymore on separate spreadsheets and scattered reports. Instead, create a unified Data Analytics & Management environment using Power BI, Dynamics 365, the Power Platform, business intelligence, data integration, AI-driven analytics, and modern data management.

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What is the importance of data analytics and management services?

Businesses that are growing collect data in a variety of areas such as finance, sales, operations, customer service, ERP, CRM, and digital platforms, but if there is no suitable method for data analytics and management, the information will stay fragmented or difficult to use.

DynovateTech is able to assist organisations in turning this information into a unified source of truth for use in business intelligence, reporting, automation, and AI-driven decision-making.

Faster Business Decisions

Instead of having to wait for reports that are prepared manually, you can access current and relevant business information through the use of dashboards, reports, key performance indicators, and analytics.

Unified Business Performance View

Gather information from all the different departments and systems in order to provide a more consistent picture of the finance, sales, operations, and customer activity.

Improve Data Quality

Spot any information that is duplicate, incomplete, inconsistent, or outdated and carry out data cleansing, validation, and quality management procedures.

Reduce Manual Reporting

Automate the processes involved in data collection, data transformation, reporting, and the updating of dashboards in order to cut down on the repetitive tasks that currently involve the use of spreadsheets.

Improve Operational Visibility

Keep an eye on business performance in each department using dashboards that highlight relevant trends, exceptions, and key performance indicators.

Prepare Data for AI

Build a data foundation that is well-structured and properly governed in order to support AI-driven analytics, Microsoft Copilot, intelligent automation, and predictive applications.

Support Business Growth

Design data platforms and analytics environments that are scalable so as to be able to handle additional users, systems, data sources, and reporting requirements.

Strengthen Data Governance

Set in place the proper processes for ownership, access, validation, security, and governance so that business users can work with more reliable information.

Connect Your Existing Business Systems With Data Analytics

Your business data might already be spread across ERPs, CRMs, spreadsheets, databases, cloud applications, and operational systems, and DynovateTech can assist in linking these together without interfering with the systems that currently support your business.

Sales & CRM Analytics

Dynamics 365
Dynamics 365 Business Central
Dynamics 365 Finance
Dynamics 365 Sales
Dynamics 365 Customer Service
Microsoft 365

Microsoft Data & Analytics

Power BI
Power Platform
Dataverse
Power Automate
Microsoft Azure
Microsoft data services

Business Data Sources

SQL databases
Excel & CSV
REST APIs
Third-party applications
Cloud applications
Legacy business systems

Data Integration & Connectivity

Azure Data Factory
Microsoft Fabric
Data connectors
ETL & ELT pipelines
API integrations
Real-time data integration

AI-Powered Data Analytics & Management Services

By using AI, it's possible to achieve more interactive analytics through the discovery of meaning in business information, the detection of patterns, the summarisation of data, and the provision of insights via natural-language interfaces. DynovateTech is able to combine AI, Power BI, Dynamics 365, and business data in order to provide intelligent analytics solutions.

Natural-Language Data Insights

Allow business users to interact with data by posing questions in natural language and then obtain relevant information instead of having to depend on manually created reports.

Predictive Business Analytics

Use historical and present business information to identify patterns and to support forecasting, planning, and proactive business analysis.

AI-Powered Reporting

Use the capabilities of AI to summarise business information, spot relevant trends, and concentrate on the insights available in large datasets.

Intelligent Data Automation

You can combine the capabilities of AI with Power Automate and with business applications that are connected in order to classify, process, route, and take action on the information within the defined workflows.

Explore AI-Powered Analytics

Tools and Technologies

A structured, data-driven approach to ensure seamless transition and immediate valuerealization.

Data Warehousing & Cloud Storage

Snowflake
Amazon Redshift
Google BigQuery
Azure Synapse Analytics
Databricks
Databricks Lakehouse

Business Intelligence & Visualization

Power BI
Tableau
Looker
Qlik Sense
ThoughtSpot
Metabase
Apache Superset

Data Integration, Pipeline & ETL/ELT

Apache Airflow
Fivetran
dbt (data build tool)
Azure Data Factory
AWS Glue
Talend
Informatica

Big Data & Real-Time Analytics

Apache Spark
Apache Kafka
Databricks
AWS Kinesis
Google Cloud Pub/Sub
Snowflake Snowpipe

Data Governance, Catalog & Quality

Microsoft Purview
Collibra
Alation
Great Expectations
Monte Carlo
Atlan
Soda

Advanced Analytics & Machine Learning

Python
R
Scikit-Learn
TensorFlow
PyTorch
AWS SageMaker
Azure Machine Learning

Database Systems (Relational & NoSQL)

PostgreSQL
Microsoft SQL Server
Oracle Database
MySQL
MongoDB
Amazon DynamoDB
Redis

Why Choose DynovateTech?

Through its Microsoft Dynamics 365, Power Platform, Power BI, ERP, CRM, and AI capabilities, DynovateTech brings together data analytics
and management so that analytics can be incorporated into the broader technology environment rather than functioning as a standalone reporting layer.

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Microsoft-Centered Expertise

Create analytics environments using Microsoft technologies such as Dynamics 365, Power BI, the Power Platform, Dataverse, Microsoft 365, and its AI capabilities.

Business Process Understanding

Link the analytics requirements to the real business workflows in finance, sales, operations, CRM, ERP, and customer service.

Connected Data Approach

Combine information from various business applications, databases, spreadsheets, APIs, and other data sources.

Power BI & Reporting Expertise

Design interactive dashboards, reports, key performance indicators, and visualisations that convert complex business data into information that is easy to understand.

AI-Ready Data Foundation

Make sure that business data is prepared and organised so that it can be used to support AI-powered analytics, Microsoft Copilot, intelligent automation, and future AI projects.

End-to-End Data Services

DynovateTech provides support throughout the entire data lifecycle, from discovery and data strategy, through integration, analytics implementation, migration, deployment, to ongoing optimization.

Data Analytics & Management Implementation Process

Successful analytics projects begin with a clear understanding of both your business and your data environment before deciding on the right technologies or constructing dashboards. DynovateTech employs a systematic approach to connect, manage, analyse, and optimise your business data.

Discovery and Business Review

Make sure you understand your business objectives, the reporting difficulties, the existing applications, the data sources, the users, the KPIs, and the analytics requirements.

Data Review and Plan

Look at the current data landscape, spot any gaps and quality problems, assess the integration needs, and establish the right data analytics strategy.

Data Integration and Modelling

Link together the relevant systems and data sources, set up the data flows, clean the data, and create suitable data models for the purpose of analytics and reporting.

Development of the Dashboard and Analytics

Create Power BI dashboards, business intelligence reports, KPIs, analytical views, and AI-powered analytics experiences based on your business needs.

Testing & Deployment

Before the analytics environment is deployed, check the accuracy of the data, the calculations, the integrations, the access permissions, the dashboards, the reports, and the user requirements.

Optimization and Continued Support

Keep an eye on performance, ensure that the data pipelines remain intact, improve the dashboards, deal with changing business requirements, and constantly optimize the data analytics and management environment.

Frequently Asked Questions

Everything you need to know about Dynamics 365 ERP implementation with DynovateTech.

Data Analytics & Management Services assist businesses in gathering, combining, arranging, overseeing, analysing and presenting information so that teams can use reliable data for the purposes of reporting, business intelligence and decision-making.

DynovateTech is able to assist with connecting business data sources, improving data quality, constructing Power BI dashboards, integrating Dynamics 365 and other applications, modernising reporting, and introducing analytics that are powered by AI.

Certainly. Data analytics solutions can be developed for Dynamics 365 ERP, Dynamics 365 CRM, Business Central, the Power Platform, Dataverse, Power BI, Microsoft 365, and other supported third-party systems.

Power BI is used for connecting and visualising business information via interactive dashboards, reports, key performance indicators, and analytics. As part of its Power Platform and business intelligence capabilities, DynovateTech already offers Power BI.

Certainly. Data may be obtained from ERP systems, CRM systems, databases, spreadsheets, APIs, cloud applications, and other business systems that are supported, depending on the technical environment.

Certainly. DynovateTech is able to carry out data migration activities such as data assessment, cleansing, mapping, validation, and migration planning as part of wider Microsoft business application projects, and its current ERP offering specifically involves secure ERP data migration and data validation.

Correct. For DynovateTech, the Microsoft solutions currently available include AI-driven analytics, Microsoft Copilot, document automation, the integration of custom AI models, and insights based on Power BI.

Yes, analytics can be used together with Power BI, Power Apps, Power Automate, Dataverse, Dynamics 365, and other Microsoft business applications in order to link insights with business workflows.

Yes, the ongoing support may involve dashboard maintenance, analytics optimisation, improvements to data quality, monitoring of integrations, enhancements to reporting, and making changes in light of changing business requirements.

The right solution depends on your current systems, data sources, reporting needs, business goals, data quality, integration requirements, and future AI needs. DynovateTech is able to evaluate your environment and draw up an appropriate analytics roadmap.

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Browse through common queries and get quick solutions to your questions.

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What Our Clients Are Saying

We take pride in delivering exceptional solutions that deliver great results.
But don’t just take our word for it.

Rajesh Mehta

India

We were struggling to manage our sales pipeline and customer data across multiple spreadsheets. DynovateTech implemented Microsoft Dynamics 365 CRM for us and it completely changed how our team operates. Everything is centralized now follow-ups, deal tracking, customer history. Our sales team closed 30% more deals in the first quarter after go-live.

Sarah O'Brien

United Kingdom

Our finance and inventory processes were a mess before we approached DynovateTech for a Microsoft Business Central implementation. The team took time to understand our operations before building anything. The rollout was smooth, the training was thorough, and today our monthly closing process takes half the time it used to. Genuinely impressed.

Ahmed Al Farsi

UAE

We wanted to automate our approval workflows and connect our HR, finance, and operations systems without building complex custom code. DynovateTech built everything on Power Automate and Power Apps. What used to take our team days now happens in hours automatically. The ROI was visible within the first two months.

Linda Hoffman

USA

DynovateTech built us a custom Copilot using Copilot Studio that now handles a large portion of our customer queries without any human involvement. Response times dropped dramatically and our support team can finally focus on complex cases. The team was knowledgeable, patient, and delivered exactly what they promised.

Daniel Osei

Ghana

We implemented Power BI with AI-driven insights through DynovateTech and it transformed how our leadership team makes decisions. Instead of waiting for weekly reports, we now have live dashboards that flag issues before they become problems. The implementation was clean, the team was responsive, and the results speak for themselves.

Let's Talk About Your Microsoft Roadmap

Tell us where you are today and where you want to go. A certified Microsoft Dynamics 365 Partner will get back to you within one business day, no sales pressure.

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