Skip to content

Data integration services to unify, harmonise, and unlock business insights

Gain a complete view of your data, enhance productivity, and stay competitive with Datavid's integration services.

GET A FREE ASSESSMENT

datavid data integration services

Turn data silos into knowledge hubs

When data silos are converted into accessible information, your employees are more engaged. Datavid's service merges your systems quickly and effectively.

Reduce errors and re-work

With Datavid’s data integration services, you can consolidate data from different sources and systems, identify and correct inconsistencies, and ensure quality for better analytics.

Save time and internal resources

Datavid’s data integration services eliminates the need for manual data entry, data migration, and data reconciliation, which can be time-consuming and error-prone. By automating these processes, you can save time, reduce costs, and free up resources to focus on high-value activities.

As your business expands, you are dealing with a lot of data from various sources. This data is essential for making informed decisions, but it is scattered across systems, making it challenging to get a unified view.

This is where data integration comes in.

Imagine having all your data integrated and ready to use in one place—giving you a comprehensive view of your business.

You can identify trends, pitfalls, and opportunities otherwise invisible.  

With Datavid’s expert data integration services, you can bring your data together from any store, saving valuable time and resources.

Consolidate your enterprise knowledge with our data integration services

With Datavid's trusted data integration services, you can have a 360-degree view of your business and empower employees to self-serve with easy-to-use interfaces and domain-specific functionality.

OUR WORK IN YOUR INDUSTRY
datavid helps you integrate data from multiple sources

Get a 360-degree view of your business

By integrating data from multiple sources, employees can collaborate across departments, and they can see how their activities impact each other.

Also, when data from every part of the enterprise is combined, you gain a holistic view of your business operations and performance. This effort enables you to find insights and opportunities that would not be apparent if you were looking at each data source in isolation.

datavid light blue blurb 2

Improve data quality & consistency

Synchronising data and automating updates improves the value of your data processes over time. As data is integrated into a centralised system, you can identify quality issues and implement necessary improvements, leading to more accurate datas. Datavid helps you reach this improved accuracy, reliability, and consistency of data. 

datavid helps you improve data quality & consistency
datavid helps you boost efficiency and productivity

Boost efficiency and productivity

When your company takes measures to integrate its data properly, it cuts down on the time it takes to prepare and analyse that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application. The time saved on these tasks can be put to better uses, with more hours spent on analysis and execution instead of research and communication. 

datavid dark blue blurb 2

CASE STUDY

Extracting knowledge from decades of data

With almost 50 thousand team members spread across the globe, Syngenta is a powerhouse in farming and agrochemicals—a dominant leader in many of its applications worldwide.

Syngenta came to Datavid with a huge challenge to solve: indexing more than 16 million files spread across dozens of data sources which contained decades worth of siloed knowledge.

Datavid developed a semantic data platform for Syngenta, with the capability to index and retrieve specific agrochemical concepts extracted from "foam tree" ontologies.

The result was a drastic reduction in research time from several weeks to just a few hours, enabling research across a vast body of knowledge previously unavailable to the R&D team.

Read the full case study →

syngenta case study agrochemical research datavid

QuotesFilled-1

Datavid is helping Syngenta's scientists identify concepts that are relevant to their research more quickly, ultimately saving time and effort on a weekly basis.

Graham Mullier

HEAD OF CONTENT DIGITISATION, SYNGENTA

Helping world-class organisations integrate their data

  • syngenta datavid customer
  • roche datavid customer
  • department of levelling up housing and communities datavid customer
  • standards australia datavid customer
  • american chemical society datavid customer
  • medical protection society datavid customer
  • smith and nephew datavid customer
  • abbvie datavid customer
  • healx datavid customer
  • progress marklogic datavid partner

Your Questions. Answered.

What is the purpose of data integration?

The purpose of data integration is to combine and unify data from various sources and formats into a single, cohesive, and accessible format, enabling better analysis, decision-making, and business insights.

What is an example of data integration services?

Integrating customer data from a company's website, CRM system, and social media platforms into a single, centralised database for a 360-degree view of customer interactions and behaviour.

What are the four 4 types of data integration methodologies?

  1. Manual Data Integration: This involves manually collecting, transforming, and loading data from various sources into a unified format.
  2. Middleware Data Integration: Middleware software is used to facilitate communication and data exchange between different systems and databases.
  3. ETL (Extract, Transform, Load): ETL processes involve extracting data from source systems, transforming it to meet the desired format or structure, and then loading it into a target database or data warehouse.
  4. Federated Data Integration: This approach allows data to remain in its original location but provides a virtualised view of data across different sources, enabling queries and analysis without physically moving the data.

Take your organisation's data practices to new heights

GET A FREE ASSESSMENT
datavid manish gupta data engineer