Data Transformation Consulting by Zanovoy

Most businesses find that over time, and with numerous system implementations having taken place, their data becomes siloed, disorganized, and in some cases unusable. Our Data Transformation Consulting services are designed to help businesses take back control of their data management strategy and improve data quality, consistency, visibility, and accessibility.

What is Data Transformation?

Data transformation is the process of converting data from one format or structure to another, usually with the aim of gaining a centralized format for better and easier data analysis. Data transformation is necessary when data is moved from one system to another, or when it needs to be processed in a different way than how it was originally captured.

To Improve Data Quality

Data transformation can be used to clean up data, fill in missing values, standardize formats, and more. These processes make the data more reliable and easier to work with.

To Make Data Compatible With Other Systems

When data from different sources need to be aggregated, it may need to be transformed to match the structure of the other data. For example, data from a relational database might need to be transformed into a format that can be uploaded into a data analytics platform.

To Make Data Easier to Work With

Data transformation can make it easier to work with data by reorganizing it into a more convenient format. For example, data from a website might be transformed into a format that can be easily analyzed in a spreadsheet.

Our Data Transformation Process

Evaluating Existing Data Sources and Outputs

The first step in our data transformation process is to take a close look at your existing data sources and outputs, such as spreadsheets and reports. We will work with your team to understand the business’s needs and objectives, and to determine what kind of data you need to achieve those goals. We will also assess the quality and completeness of your existing data, looking for any issues that could impact upcoming initiatives, such as new system implementation.

Data Use Analysis

In order to ensure our data transformation project achieves the desired outcomes, it is important to fully understand how data is being used throughout the different systems in your business. Often multiple systems are tracking the same information, but for different reasons.  We need to understand these differences in order to make sure that the data transformation project integrates all these different uses into a cohesive plan.

Designing the Data Transformation Solution

Once we have a good understanding of your current data structures, we will work with you to design a data transformation solution that meets those needs. This solution may involve consolidating multiple data sources into a single format, designing new processes for capturing and storing data, or developing a custom tool to automate the data transformation process.

Data Mapping and Normalization

After we have analyzed your business’s needs and objectives, as well as how data is currently being used, we will create a comprehensive data map. This data map will be used to guide the data transformation process, ensuring that all relevant data is captured and transformed into the desired format. We will also work to normalize your data, standardize formats and eliminate any duplicate entries.

Data Migration

Once we have transformed your data into the desired format, we will work with you to migrate the data into your new system. We will also provide you with comprehensive documentation of the data transformation process, as well as guidance on how to maintain the quality of your data going forward.

Data Cleansing Specialist

What Types of Data are Typically Included?

Product Data

It is important to have accurate and up-to-date product information if your business sells products. Data transformation can help to standardize product data across different departments and systems, making it easier to track and manage. This is especially important for companies who manufacture their own products as there is no external data available to ensure product data accuracy.

Customer Data

Your customer data is one of your company’s most valuable non tangible assets. However, in most businesses, over time it becomes dispersed throughout different departments, applications, and systems. Data transformation can help to consolidate your customer data into a single format, making it more accessible and easier to work with.

Sales Data

Your sales data contains a wealth of information that can be used to improve your business’s marketing and sales strategies. Data transformation can help you to consolidate your sales data into a single format, making it easier to analyze and draw insights from.

Operational Data

Operational data is the data that your business uses to track its day-to-day operations. This can include data such as inventory levels, employee performance, and financial data. Data transformation can help you to take control of this valuable information to help your team make better decisions with a more complete view of what’s happening in the business.

Inventory Data

Managing inventory data can be complex.  Data transformation can help to simplify this process by consolidating multiple inventory data sources into a single format giving you complete visibility over critical inventory data points including item master records as well as related products and components. From an inventory management perspective, data transformation helps to streamline processes by giving you a better understanding of warehouse management data such as bin and location management and serialized and lot-based inventory data.

Financial Data

Perhaps most importantly, data transformation can help your business to get a better handle on its financial data. This can include data such as invoices, purchase orders, and expense reports. Data transformation can help you to standardize this information across different departments and systems, making it easier to track and manage. This is especially important for businesses that need to comply with financial regulations such as Sarbanes-Oxley (SOX).

What are the Benefits of Data Transformation?

There are many benefits to data transformation, including:

Improved Data Quality

Data transformation can improve data quality by filling in missing values, standardizing formats, and so on. This can make it easier to work with your data and avoid potential errors.

Improved Data Accessibility

Data transformation can make it easier for you to access the data you need when you need it. This is because data transformation can consolidate multiple data sources into a single format, making it more accessible and easier to work with.

Improved Decision Making

Data transformation can help you to make better decisions by giving you a more complete view of your business. This is because data transformation can consolidate multiple data sources into a single format, making it easier to analyze and draw insights from.

Simplifying New System Implementations

If your business is implementing a new system, such as a new Customer Relationship Management solution, or ERP, data transformation can help to simplify the process ensuring your data is ready to be uploaded quickly and without errors. Data migration is often one of the most challenging aspects of a new system implementation so getting it right the first time can save your business a lot of time and money.

Interested in Learning More?

If you are interested in learning more about Zanovoy’s data transformation consulting services, please contact us today. We would be happy to discuss your specific needs and requirements and provide you with a proposal outlining our services.

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