5 Ways To Create a Noticeable Data Strategy

Source: unsplash

Marketing Without Data is like your driving with your eyes closed - Dan Zarella

Have you ever felt that communicating with hundreds of people is a task? Now imagine they all are from different countries and speak different languages, that’s how much the data is scattered these days.

We all understand the frustration behind the unorganized, inconsistent and unstructured data. That’s where data strategy comes into play.

It’s more important than ever to innovate new data strategies for your business goals.

In this article, we're going to discuss how you can make your next data strategy successful.

With clear goals and measurable objectives for your data strategy, it’s possible to level up your data management system.

How Data Strategy has Evolved Over the Last Years?

The basic rule of maintaining a data strategy is to prepare a plan of action that can manage data, and use it as an asset.

Companies like Netflix, Google and Coca-cola have been using data strategy to carve out a set of choices and decisions. In other words, the strategy helps them accomplish their remarkable goals.

That being said, data strategies have evolved a lot in the last decade:

Here are a few of the recent data strategy trends businesses should be aware of:

As per Dqindia (2025), 95% of enterprise organizations will embrace hybrid cloud deployment, voice control and neutral languages. Likewise, the API, data fabric architecture and machine learning will be part of the same segment.

The underlying differences will push new businesses to update their data strategy to promote their product in the masses. Now, more and more companies are relying on data byproducts. To clarify, mainly on the new ways of exploring data science to achieve their business goals.

5 Ways to Make Your Data Strategy Stand Out

Yes, the “data” word can be scary. It takes a lot to plan, strategize, and then execute the same. Every company wants to build an enterprise data strategy that gives them the desired result.

So, here are a few reasons for you to create a standout data strategy:

· Your Industry and Company Size

Your company size matters since every business need a wide data plan. There are different goals and targets for different sizes of companies.

For example, small biz making a maximum of $38.5 million will have different long term goals than the large enterprise generating over 1 billion each year.

As per HBR, more than 70% of employees have access to illegal data. 80% of analysts’ time is spent researching and preparing data.

They will both need different data and analytics strategies. To find the right type of data in both cases, you need to start sourcing, collecting, and integrating data.

Of course for this part, you need to develop and pay more attention to in-house talents plus analytic teams.

Miro Kazakoff, senior lecturer, at MIT Sloan mentioned, “If you want people to make the right decisions with data, you have to get in their head in a way they understand.” This advice works.

· Your Data Management Team

Why do you need good data management? That shouldn’t even be a question.

To produce a good data strategy, you do need smart people. A good data management team can focus on their efforts where it matters the most to help you make data-driven decisions.

Well, the role of the data management team is to organize, supervise and safeguard a company’s data.

They also take ownership of fixing any incompatible, missing or duplicated data.

After all, the stats say that 83% of institutions see data as an essential part of their business strategy, yet 69% say that inaccurate data continues to undermine their efforts.

That’s a valid reason why you need a strong data management team.

Source: Edq.com

• Outline Your Data Architecture

Here is the second method to analyze the right things in your data architecture. It is the first step in data management since it creates data structure and relationships between different data elements.

This means it defines the underlying data environment and provides an outline with certain guidelines. Starting from data collection, consumption, processing, and storage to supporting data integration.

It focuses on engineering and data preparation. Certainly, it helps businesses in measuring what matters, keeping it simple yet strong and comprehensive.

Here are some of the components of data architecture:

• Data ingestion layer

• Storage layer

• Sources layer

• Bonus layer

Companies that store a large amount of data can benefit supremely from the data architecture system.

Source: Typepad.com

• Assign Ownership to Your Team Members

We all know that data is a vast industry. That’s the reason to avoid miscommunication. It's important to assign people at different stages of the pipeline. The responsibility of data owners is to be accountable for data within a specific domain.

If one member is allotted the task of reporting data while another one is for operational data, they need to look after the defined data set on a day to day basis.

Here are 5 core elements of data ownership:

• Management

• Location

• Access

• Security

• Ownership and Rights

· Reassess Regularly

Every time you introduce a new product, service or tweak any other changes, your data changes.

As a result, there is a new set of data that needs to be reassessed now and then.

Creating a strong data process is all about identifying the new data, its storage process, and analyzing it. It's a good rule to reassess your data strategy every 5-6 months.

This not only helps you to drift through the process of altering data but also helps you evaluate your company's performance.

For example, you can take data maturity assessments like answering questions that can help you analyze your company’s maturity with your data strategy within these 4 criteria;

1. Strategy and culture

2. People and skills

3. Technology and tools

4. Methodology and process

You can take surveys and evaluate your strategy based on the scores.

So, here are a few ways to review your data:

• Look into your budget and your company’s goal

• Count your new products and offerings, see the new incoming data storage and how it is filled

• Check the tools you use to track your users’ activity.

• Define your Key Performance Indicators (KPIs).

• You need a central dashboard for viewing and manipulating your data. Also, you can calculate the number of programs a user has to log into when creating reports.

To conclude, data strategy is the way to escalate your business’s goals which helps you to generate value.

With proper data governance calculations, data lineage and the right people to access and manage the data , your business revenue will skyrocket without any doubt.