Data Product Management: Definition and Why It Is Necessary

Data product management is a lot like making the perfect pizza. You want it to be delicious, but you also want to be efficient with your ingredients. This can be tricky when dealing with large data sets and tons of customer data. However, if you use these best practices from data product management, you will be able to enjoy a tasty pie in no time.

What Is Data Product Management?

Data product management is the process of creating, managing, and optimizing data products. Data products are a combination of data and analytics that can be used to make business decisions. A data product may be a report, presentation, or dashboard. Various departments in an organization create data products, including sales, marketing, HR, finance, and operations.

Data product managers are responsible for coordinating these teams to create and manage their data products. They must have strong technical skills in both programming languages, such as Python or R and SQL, and be able to write well-crafted reports. They should also be able to work closely with other departments to ensure that the information is accurate and relevant for their users.

Why Is It Necessary?

Data product management is necessary for several reasons. Firstly, good data product management helps your organization to be more efficient and effective. This means you can spend less time on administrative work and more on research, development, design, or other important business tasks.

Second, good data product management will help your company better understand its customers and their needs. This allows you to provide them with what they need while making informed decisions about how you can best serve them.

Thirdly, good data product management will help your company save money as it eliminates the need for unnecessary overhead costs like IT support staff and office space rental fees.

What Are the Responsibilities of a Data Product Manager?

As a data product manager, you are responsible for the success of your company's data products. To do this well, you need to be able to manage the following areas:

Data Reporting

Your team will be responsible for reporting on performance metrics for their own teams or across the entire organization as required.

Data Stewardship

Your team should ensure that the correct people have access to the right information at all times. They should also ensure that this data is used ethically and according to best practices.

Quality Assurance

You must ensure that all your data products have been designed with quality in mind for use by anyone who needs them. The data should be as accurate as possible, consistent across all platforms, relevant, up-to-date, and easy to understand.

Data Warehousing

Data warehouses are data collections organized into structured tables to make it easier for users to access and analyze large amounts of information quickly. A good example would be a sales database, where each record represents a sale made by a customer who purchased an item from one supplier over a period of time.

Data Visualization

Visualization is another important role for data product managers because it allows people to make sense of vast quantities of raw data. In this case, someone might want to look at the sales figures from last year, broken down by month and quarter (which would then be displayed as charts).

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

What Is the Difference Between a Product Manager and a Data Product Manager?

The two are often confused, but they are not the same thing. While a product manager is responsible for managing the entire product lifecycle, a data product manager focuses on creating and maintaining data products.

A product manager is responsible for defining and managing the overall vision and mission of the product. On the other hand, a data product manager creates and maintains that vision by managing all aspects of data product development and management.

To put it simply, the major difference between these two jobs is responsibility. A product manager ensures that the customer gets what they want from the company. A data product manager takes on more of an engineering role in understanding how to build something out of existing business processes or industry standards.

How Does a Data Product Manager Benefit the Product Development Cycle?

Data product managers benefit the product development cycle in three ways:

• Data product managers gather and organize data to be used by the team. This includes all the information needed to decide on what to build, including user feedback and market research.
• Data product managers create an environment where everyone can access all the information needed to make decisions about the product and its features. So, everyone clearly understands what needs to be built, why it needs to be built, who will use it, and how it will be used.
• Data product managers help ensure that everyone involved in building a new product is on the same page about goals and expectations for that product.

Learn about the top 10 features of embedded business intelligence.

Do You Need a Data Product Manager?

The short answer is: yes. But why?

A data product manager is responsible for creating and managing data-derived products. These products can include reports, dashboards, other visualizations, and AI-generated content like chatbots. They also handle development tasks like building prototypes and hiring team members.

If you're thinking about increasing your company's revenue by improving how it integrates with its customers' business processes through new data-driven insights and experiences, then hiring a data product manager might be the key to success.

Read the top 10 reasons for selecting InetSoft as your BI partner.

FAQs

1. What Is Data Product Management?

Data Product Management is a field that encompasses managing the creation, development, and delivery of data products. Data products are given to clients to use in their business processes.

2. What Makes a Good Data Product Manager?

A good data product manager understands their company's business needs and how their products can best meet them. They understand the value of their products, and they know what is important to the people who use them. They can then translate that information into something that will help people, which is what data product management is all about.

3. What Does DPM Do for My Business?

DPM helps you prioritize your efforts so that you can spend your time on what matters most, which is driving growth and revenue. DPM also enables you to understand where your data sources go wrong, so you can fix them before they hurt your bottom line.
Data product management is a new field. It's a field that involves both people and technology, so it requires a unique blend of skills. But it's also an exciting field because there are numerous growth and innovation opportunities. Keep in mind that you need a dedicated data product manager to do this successfully.