Fuelling Manufacturing Excellence Through Data

Self-Servicing Data: Empowering Manufacturing Excellence and Fostering Innovation.

Unifying Data Sources for Seamless Integration

The manufacturing industry harnesses data from physical and digital activities to drive efficiency and innovation. Through sensors, automation, and interconnected systems, valuable insights are extracted, optimizing processes, improving product quality, and enabling predictive maintenance. We had to ensure that our connectors are able to speak to an array of sources and data types like CSV, EXCEL, SQL, XML, HTML and many more.

Scalable data structuring to accommodate changes in source table structures

It is quite common in manufacturing to have new machines being introduced at the factory floor with updated features. Changes in the data structure of the source database can have a profound impact on the destination database. Mismatches in schema, data types, or relationships can lead to data integrity issues, data loss, or incomplete transfers, requiring careful mapping and transformation to ensure successful data migration. We make this change easy through an automate approach.

Preliminary data cleansing and data transformation

Data transformation is crucial as it converts raw data into actionable insights. By cleaning, aggregating, and standardizing data, manufacturers can uncover patterns, identify inefficiencies, optimize processes, and make informed decisions to enhance productivity and drive innovation. This requires a two or three prong approach of harmonizing data from multiple sources in a standardized manner before you start summarizing it further for the business users.

Automated scheduling for a hassle-free experience

Everyone wants a hassle-free experience when it comes to analysing your data. You wouldn’t want to go through the pain of extracting, cleaning, transform and loading your data every day. Imagin the time it saves when your data is accumulated in one place from where you can then focus on the data points required for you next stages of purposeful analysis of your business operations.

FAQ

1. Why is it relevant for Manufacturing industry?

Manufacturing industry is constantly evolving with new machines and processes being introduced. Unified data view become critical for taking timely decisions. Having a solution which is scalable to your evolving change makes it relevant.

2. What are the benefits of this solution?

Scalable with evolving sources of the organization
Self-serviceable solutions will give more control to companies.
Time taken on development can be reduced.
Cost saving

3. How can we help?

Our team of experts can help you move your data from across sources using to a single ODS platform using various connectors and an approach which has been successfully implemented for a leading manufacturing client of ours.

4. What is an ODS and how is different from a Data Warehouse?

An ODS is a database that stores real-time operational data, while a data warehouse is a repository for historical and structured data used for analysis and reporting. ODS focuses on current, transactional data, while a data warehouse is designed for long-term data storage and analytics.

5. What is next after an ODS?

The next stage is to transform and summarize the data and store it in a proper Data Warehouse which is then used for your analytical purposes.