5 Reasons Data-Driven Analytics Is of Interest to Companies (2024)

Three-quarters of US drivers think their driving skills are better than average. Mathematically this makes no sense, but it does give us insight into the power of data. The information we gather can help us see the bigger picture and make effective choices. Making informed decisions should be a priority at any organization. Let’s explore five reasons why data-driven analytics is of interest to companies.

“People’s deep confidence in their judgments and abilities is often at odds with reality.” – Michael J. Mauboussin, Harvard Business Review

1. Getting New Leads

Data-driven analytics can give insight into customer patterns and behaviors so your marketing efforts can be more focused.

85% of markters believe that consumers expect a personalized experience.

Are you aware of the type of buyer that seeks out your services? Data analytics can help you discover customer demographics so that you can develop a buyer persona.

With a detailed buyer persona based on previous sales, you can target specific types of people who will benefit from your business without throwing shots in the dark. You can also make an informed decision on which kind of buyers not to focus on, saving you time and marketing costs.

Additionally, you can engage with your current clients through email and social media and gather their reviews and opinions to create more data to drive future marketing decisions. This data can later be used to tailor your brand experience for similar buyers.

Related Blog: What is Behavioral Segmentation?

2. Reducing Costs

When your data is properly stored and organized, a business analytics system can help you find patterns and visualize data in all parts of your organization.

Perhaps there are supplies you are over-investing in, or not buying enough of when you need them most? Is there a delay in any part of the supply chain or any waste that could be minimized to improve efficiency? With data analytics, these insights become available to you.

If you own a web commerce business, for instance, you might not be aware that certain suppliers run out of stock during a specific time of the month. With this data, you can plan ahead and fulfill all incoming orders.

Reducing supply chain costs from 9% to 4% can double profits.

However, good data won’t guarantee good decisions. You need an analytics system to transform that good data into models to inform future choices.

Many organizations lack a coherent, accessible structure for the data they've collected.

A business intelligence cloud such as Power BI will consume all the data that you have and offer visual models and answers. Your business data can come from application programming interfaces (API), cloud sources, websites, and even the humble spreadsheet.

Currently, not many companies use data analytics to improve their business processes. In fact, only 22% of companies proactively manage their supply chain. With such an unexplored strategy, it’s no wonder that data-driven analytics are of interest to companies.

3. Staying Competitive

Executives from 60 Fortune 1000 companies stated that 97% of their organizations are investing in big data and AI. It makes sense, therefore, for businesses of all sizes to apply a similar strategy to stay above their competitors who are not effectively utilizing data.

With data analytics tools, you can track key performance indicators (KPIs) such as customer satisfaction, sales, and customer turnover. With these figures in mind, you can focus your energy on factors that drive your company’s success.

Remember that good data won’t guarantee good decisions. However, having a guide from which to jumpstart initiatives is better than leaving them to guesswork.

Related Blog: 3 Big Data Analytics Examples That Can Help Your Business

4. Finding Patterns of Success

Another type of KPI your business can evaluate are financial ones such as revenue, growth, and profits. Understanding the way in which your company is growing can increase investor, employee, and client engagement.

Imagine meeting a salesperson offering a service. Their pitch is intriguing, but they have no numbers to back up their claims. If they backed up their claims with data, their potential buyers would be much more inclined to trust them.

Naturally, one of the insights of data analytics of interest to companies in which product or service is selling best. But beyond that, analytics can also show you the product’s trends. For example, demand growth over time, which quarters had the most sales, and which demographic demands a specific product.

Related Blog: The Benefits of Business Intelligence: Utilizing Analytics for Strategy

5. Making Informed Decisions

One of the biggest reasons data-driven analytics is of interest to companies is that it gives decision-makers enough information to make educated choices.

A clear example of this is Netflix using big data to save $1 billion a year from customer retention. The streaming company achieved this by using algorithms to sift through data and predict viewer behaviors. They were able to make better recommendations and personalize home pages so each viewer gets an experience targeted for them.

Your organization, whether big or small, can also use data to improve decision-making. For instance, you could choose better suppliers, decide which of your products deserves more marketing, or which service needs less time and attention from your employees.

Therefore, data-driven analytics can also help your organization mitigate risks. When leaders are making decisions based on guesswork, the results rely on luck. When you can map processes and their results, you can replicate successes or avoid pitfalls easily.

Bottom Line

Data-driven analytics can help your organization understand its own growth, success patterns, and pitfalls. Business intelligence systems that can read data to show insights are an extremely valuable tool for any organization.

Data analytics can increase the likelihood of your business targeting the right leads, reducing costs, and staying competitive. The information that can be gained from data can also light the way for your organization's leaders to make the best decisions.

With such a prolific tool, it’s no wonder why data-driven analytics is of interest to companies.

To learn more about how data can serve your business and how to implement a business analytics strategy sustainably, join our webinar: How to Become a Data-Driven Company. Register Now!

5 Reasons Data-Driven Analytics Is of Interest to Companies (2024)

FAQs

Why is data-driven analytics of interest to companies in TQ? ›

Data-driven analytics enables businesses to make informed decisions, optimise business operations, understand customer behaviour, and identify trends and opportunities that might otherwise go unnoticed. This can boost sales and improve business.

Why is data-driven analytics of interest to companies brain? ›

Data-driven analytics can help companies optimize their operations by identifying inefficiencies, streamlining processes, and reducing costs. This can lead to improved overall efficiency and resource utilization.

Why data analytics is important for every business? ›

Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business.

What is the purpose of a company's data strategy in TQ? ›

The purpose of a company's data strategy is to provide a framework for collecting, storing, managing, and analyzing data effectively.

Why are you interested in data analytics? ›

As businesses rely more heavily on data analytics to optimise their operations, the need for professionals with the knowledge and skill set to analyse large volumes of complex data will only continue to rise. Data Analysts are in high demand, and there's no better time to pursue a career in this fast-growing field.

Why are companies becoming data-driven? ›

Increased Innovation and Business Performance

Solid figures can uncover insights that lead to successful new products, services, and business models. Data-driven insights also help companies identify areas that are underperforming and take informed steps to fix them.

Why is data-driven information important? ›

It facilitates greater control. With data-driven decision making you gain greater control over the direction of your business and the quality of your decisions. This is because it is based on objective data, concrete evidence and results can be effectively measured in order to assess impact.

What are the benefits of data-driven decision making with business analytics? ›

5 Benefits of Data-Driven Decision Making
  • Increased accountability.
  • Better efficiency.
  • Alignment on company-wide goals.
  • A sense of ownership at every level.
  • Transparency.

What are the five importances of data collection? ›

In this article, we will cover five broad areas that significantly increase data's importance. Those five areas are (in no particular order of importance); 1) decision-making, 2) problem solving, 3) understanding, 4) improving processes, and 5) understanding customers.

What is the main purpose of analytics? ›

Quite simply, analytics helps us see insights and meaningful data that we might not otherwise detect. Business analytics focuses on using insights derived from data to make more informed decisions that will help organizations increase sales, reduce costs, and make other business improvements.

Why is data more important for an organization? ›

Good data allows organizations to establish baselines, benchmarks, and goals to keep moving forward. Because data allows you to measure, you will be able to establish baselines, find benchmarks and set performance goals.

Why is data analytics the future of everything? ›

What makes data analytics the future of everything? Data analytics empowers organizations by transforming raw data into actionable insights, driving innovation, and fostering informed decision-making.

What is an advantage of using a fully integrated cloud-based data analytics platform, Accenture TQ? ›

Answer: It ensures the accurate and timely collection of data at the source. It improves the quality of data and the data literacy of all employees. It provides the computing power needed to convert raw data into meaningful information for decision makers.

How does the implementation of an enterprise wide data and analytics strategy help organizations TQ? ›

Simply put, an enterprise data strategy will help your organization align People, Processes, Data, and Technology while establishing the necessary data culture to eliminate risk, support business objectives, and drive positive business outcomes.

Why are companies becoming data driven? ›

Increased Innovation and Business Performance

Solid figures can uncover insights that lead to successful new products, services, and business models. Data-driven insights also help companies identify areas that are underperforming and take informed steps to fix them.

Which scenario best illustrates the implementation of data governance in TQ? ›

The best way to illustrate the implementation of data governance is through a scenario where a company has established a set of policies, procedures, and guidelines for managing its data.

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