Drive growth: Strategies for a data driven operating model

Highlights

You’ll learn how to:

• Choose the right data to ensure it aligns with your business goals
• Integrate and combine scattered data for a cohesive strategy
• Build a team that values data-backed decisions
• Use advanced analytics for better insights
• Ensure data quality by setting up strict rules

Upgrade your business with a data-driven operating model to make smart decisions, increase efficiency and outperform the competition.

Keep reading to learn more!

Whenever you watch a movie on Amazon Prime or browse a website looking for information, you generate tons of data. The same goes for customers who search your website or app for information, service or a specific product. 

The amount of data they generate is unlimited. According to research, a single person generates approximately 5.87 TB of data daily, a massive amount. 

Rather than fretting over the data generated, companies can use their customers' data to gain a competitive advantage. The power of data and what proper data use can do for your company are unimaginable. 

That’s why companies collect and use the right data to create personalized strategies for individual customers. A data-driven approach increases business efficiency while positively impacting your bottom line, creating a win-win situation. 

Companies understand that data governance is a strategic problem, and organizations are increasingly shifting towards a data-driven operating model (DDOM).

In this article, we explain what a DDOM is and why companies do not follow the DDOM framework and model risk decay in the long run.

What is a data-driven operating model?

A data-driven operating model uses data analytics to make better decisions. This analytics operating model helps you work more efficiently, predict trends and understand the services customers want.

By collecting, analyzing and using data wisely, you learn about:

• Your company’s performance
• What customers like
• What opportunities or challenges you might face

Using DDOM means making smarter decisions. DDOM emphasizes a culture of continuous improvement. Instead of going with gut feelings, decisions are based on real data, empowering you to innovate new ideas and make your customers happier.

Benefits of adopting a DDOM

Data-driven operating models are remarkably successful in driving business value and success. Apart from this, adopting a DDOM offers these benefits:

Helps you make informed decisions

Using a DDOM improves decision-making because you analyze your data. Based on the insights gained from a data model, you create effective strategies and achieve desired outcomes. For example, a retail store that studies sales data to know when customers buy and restock products can increase sales.

Improves efficiency

Adopting a data-driven model helps you work efficiently, save money and ensure business success. For instance, using a DDOM, a delivery company can understand the route data to find the fastest delivery methods. This helps them save on fuel costs, deliver faster and run their operations smoothly.

Ensures effective performance monitoring

The DDOM system accurately tracks your performance so you can identify areas for improvement and see if you are meeting your goals. For example, an online store that checks website traffic data can see how many visitors buy things, leave the site quickly or interact with the site, helping you improve the website.

Gives you a competitive edge

When you use data to understand trends and plan, you stay ahead of your competition. For example, a marketing company that watches competitors' social media ads and what people think can adjust their strategies, making their marketing more effective.

Enhances your customer experience

Understanding what customers like and tailoring services to suit them increases satisfaction and loyalty. For instance, a hotel that listens to guest feedback and booking patterns can offer personalized experiences and special deals and build lasting relationships.

Data helps you develop new products, grow your customer base and expand in a competitive market. For example, a new tech company studies customers' needs and market trends to add new features or technologies, increasing its customer base.

Case study: How did Contenstack improve Mapped's customer experience?

Mapped, an AI-powered data infrastructure platform for IoT, partnered with Contentstack for a content management system (CMS) to manage their marketing and customer website. Using Contentstack's user-friendly interface and API-first structure, Mapped improved its customer experience. The team developed a custom solution for interactive documentation based on the data collected, enhancing user engagement. 

Contentstack's SaaS model provided Mapped with a reliable, scalable cloud-based service.

Bruno Genaro, Senior Software Engineer at Mapped, said: 

“The main difference I see between Contentstack and other CMSes I’ve worked with is the performance, definitely. It’s so fast.”

You can read the complete case study here. 

As Contentstack uses the API-first approach, you can integrate Google Analytics into the CMS to track and analyze customer-related data. Using the data, you improve your customer experiences by delivering personalized marketing campaigns and products.

Strategies for implementing a data-driven operating model

With data and analytics promising businesses to deliver seamless customer experience, understanding the strategies to implement a DDOM is critical to business success.

Choose the right data

Understanding which data is most important for your business goals helps you achieve them. This ensures you use data based on your business needs, helps you make smart decisions and analyzes your data. Focusing on the right data gives you a panoramic and granular overview of your business environment. You are more confident in making decisions based on data-backed information that directly supports your goals.

Choosing the right data allows you to see what was previously invisible, improving your strategy, business environment and customer experience. 

Find ways to integrate your data

Your customer’s and company’s data is probably scattered around every department, from marketing to information technology. Examine the customer journey stages to integrate your data into your business strategy and create an effective data-driven operating model. Examining your customer’s journey uncovers important business questions that otherwise would have gone unnoticed. It helps you determine which key performance indicators (KPIs) to track to find answers to all your questions. 

Working closely with the IT department ensures you connect the data with the KPIs. This collaboration helps you focus on using data to make decisions. You reap maximum results from your data and share it across different departments.

Promote data culture

It's important to create a culture where everyone values data to make decisions. It's not just about having the data in hand. Every team member needs to know why making smart decisions is important. Teaching your team how to understand, analyze and use data helps you create an effective DDOM. You facilitate a cultural shift by encouraging an environment where data literacy is a priority.

Use advanced analytics and technology

Use advanced data analytical tools to examine and understand your data. These modern technologies help you find important details more quickly. Most analytics tools help you guess future trends, allowing you to plan and make smart choices. Making these tools a part of your tech stack improves your ability to make sense of complex data, giving you an edge over competitors.

Ensure data quality and governance

Setting up strict rules on data handling and checking it regularly ensures your data is accurate, consistent, and safe. Maintaining high-quality data helps you get the most out of using data to drive success, ensuring that every piece of information is valuable.

Measure and refine

Measure the outcome against your KPIs to ensure the success of your data-driven initiatives. Doing so helps you gather valuable insights to refine and adjust your strategies. This process aligns your overarching business goals with your data strategy, ensuring your approach remains flexible enough to adapt to market changes. 

Proactively using business processes and data to build your business strategy helps you achieve all your objectives and anticipate future trends and challenges.

FAQs

What exactly is the data-driven organization operating model?

DDOM is a business structure where decisions are influenced by data analysis and interpretation of data operating models rather than intuition or personal experience.

How do data-driven operations impact a business?

Businesses can smoother their operations by focusing on data collection, keeping customers happier and developing new ideas. This approach helps businesses make smarter choices and build a culture of continuous improvement.

In what ways do traditional business models differ from data-driven business models?

While traditional businesses make decisions based on what’s worked in the past or what feels right, data-driven businesses use data to gain meaningful insights that guide their moves. This means always tracking customers' behavior and the latest market trends.

Learn more

In the data-centric business world, the data-driven operating model is no longer a choice; it's necessary. Use it to grow your business. 

Do you want to change your business with DDOM? Request a free demo today and start your path to being great with data.