Data fuels digital transformation, it is at the heart of everything an
enterprise aspires to do.

Data Transformation is one of the exciting avenues for enterprises to migrate and streamline data. Use our services to drive digital disruptions by harnessing data at scale.

We help customers to unlock the true
potential of their data.

At Booleandata, by placing user needs at the epicenter of our data transformation efforts, we are able to deliver an impactful, delightful, efficient, and result-oriented experience.

Businesses need to transform high volumes of data for several reasons, such as migrating data, consolidating records, etc. To be able to manipulate data in the most effective way, a data transformation tool with a broad array of transformation options is necessary.

Why Boolean Data ?


We organize and structure large volumes of data, making it easier to use and facilitate better business decisions.


We ensure proper formatting, validating, and managing of data. “Bad data” issues like metadata inconsistencies, indexing errors, incompatible formats, duplicate records, and missing values are reduced significantly.


Using our cutting-edge transformation tool, you can improve data efficiency by exchanging data between APIs and cloud apps, all from one simple platform.

Timely and

By providing complete visibility, we are able to execute on time. Also, the best of our data transformation services comes with multiple functionalities, which are both unique and affordable.

How will our services benefit you?

We will work collaboratively with your subject matter experts to choose the right services and accelerators data transformation geared towards your particular use cases while ensuring quality and governance.

We guide you through the entire process, working closely with your company, its challenges, strategy, and any questions you may have. Let’s look at some of the fields we can help your business with:

Data Integration

We offer a complete data integration
solution that combines data from multiple separate business systems into a single unified view, often called a single view of the truth.

Data Migration

We assist your firm with selecting, preparing, extracting, transforming, and permanently transferring data from one computer storage system to another.

Data Wrangling

Our expertise help you with the process of programmatically transforming data into a format that makes it easier to work with. The necessity for data wrangling is often a by-product of poorly collected or presented data

Data Warehouse

We also help you with setting up a complete data warehouse from scratch. They are central repositories of integrated data that store current and historical data in one single place.

A Boolean approach to data transformation

Extraction and parsing

In the modern ELT process, data ingestion begins with extracting information from a data source, followed by copying the data to its destination. Initial transformations are focused on shaping the format and structure of data to ensure its compatibility with system.

Translation and mapping

Some of the most basic data
transformations involve the mapping and translation of data. Translation converts data from formats used in one system to formats appropriate for a different system.

Filtering, aggregation, and summarization

Data transformation is often concerned with whittling data down and making it more manageable. Data may be consolidated by filtering out unnecessary fields, columns, and records. Data might also be aggregated or summarized.

Enrichment and

Data from different sources can be merged to create denormalized, enriched information. Long fields may be split into multiple columns, and missing values can be imputed or corrupted data replaced as a result of these transformations.

Indexing and ordering

Data can be transformed so that it’s ordered logically or to suit a data storage scheme. In relational database management systems, for example, creating indexes can improve performance or improve the management of relationships between different tables.

Modeling, typecasting, formatting, and renaming

Finally, a set of transformations can be applied to data without changing its content. This includes casting and converting data types for compatibility, format localization, and renaming schemas, tables, and columns for clarity.

Client Testimonials

– CTO & Chief Data Officer

Within a year of our launch, we added more than 20 data sources for our micro lending platforms. These included complex data from core banking systems, mobile and geo data from our partners and a variety of confidential data from different sources. Data engineering is a critical component to process data from all these sources for our data analytics to run and provide scoring for our customers. Boolean’s team did amazing job in putting together a solution that was scalable and robust. Thank you team !!

For more information on how to execute transformation like a master, please contact us.

Interested in building data solutions?