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Why Do We Need A Data Strategy?
Why Do We Need A Data Strategy?

Successful data-driven businesses recognize the value of their data as a strategic asset and employ sophisticated data strategies to fully tap into its potential.

Today's businesses view data as their most valuable resource, and they are keen to learn how to harness its power for improved decision making but doing so may be a challenge due to the sheer volume of data that must be processed. Often, data that is dispersed in silos, stuck in departmental systems, has low quality, and comes with hefty price tags. As a means of adjusting to competitive challenges, most businesses will put short-term, tactical concerns ahead of more long-term, strategic goals.

Moving towards a culture that is more data-driven is unquestionably doable, and it begins with a data strategy. All of your organizational data procedures should stem from one well-thought-out data strategy. It is not intended to be a quick fix but an overarching plan that lays out the people, procedures, and technology that will help you deal with data problems. It's the best approach to zero down on your absolute data needs and formulate a realistic plan for the future. This article will discuss why data driven approach is crucial for businesses and how to develop one that can help you get closer to your goals. The primary question remains “How do you monetize the data that you hold?”

Importance of Having a Data Strategy in Your Business

“A data strategy is a plan of action that describes how data will be used and analyzed to derive the most accurate, timely, and actionable insights for addressing present and future business needs.”

With a solid data strategy in place, businesses can make the most of their data resources and BI efforts, resulting in measurable ROI and opening up new avenues for revenue growth. It aids corporate heads in setting the stage for a data-driven culture and aids in decision making that is driven by data. Here are some of the main reasons for implementing an enterprise data strategy.

1. To Manage Data Influx

In most organizations, data is growing at an exponential rate, and so are the number of technological solutions promising to revolutionize how you handle and analyze your data. Amid this data deluge, businesses are struggling to keep track of what's truly crucial. However, if you have a solid data strategy in place, you will have well-defined objectives and a plan for achieving them, and you will be able to prioritize your efforts so that they bring the most value to your business.

2. Improving Data-Driven Decision Making

A well-thought-out data strategy will help you organize your data in a way that yields useful insights for making data-driven business decisions. Your team can quickly access refined data and make informed decisions to boost performance and revenue. Furthermore, you can learn about emerging market trends and reimagine your offerings in light of user feedback. Many modern businesses rely their decisions on statistical analysis. Even while data strategy and management have emerged as growth-promoting digital advances, most organizations are still behind the curve.

Data strategies that enable innovation and value creation in line with current and future market trends can help businesses achieve their long-term goals. Moreover, it helps people acquire the knowledge and abilities needed to better handle data, conduct analysis, and make decisions that boost financial outcomes.

Checkout this Case study about Qentelli helping a Grocery Chain automate Demand Prediction and Inventory Optimization using advanced AI algorithms for data prediction

3. Identifying Customer Needs and Trends

Businesses use analytics and data to gain a deeper insight into their customers’ needs and preferences. By learning what customers want, businesses may better shape their products, advertising strategies, and distribution channels. By analyzing customer interactions across channels, including online and in-person, businesses are better equipped to meet customers' demands and anticipate unmet needs across all touchpoints. In addition, businesses may use data to create hyper-personalized products and services in response to customer demands and to build new revenue models.

4. Improving Internal Operations

Utilizing data assets effectively can also give your business the chance to enhance its operations, offerings, and customer service. The data collected can be used in a number of ways, including the creation of new products and services, as well as the enhancement of existing ones, and the streamlining of production. For example, retailers can generate estimations to aid with inventory management and streamline back-office operations. Data analytics can detect product popularity, stock levels, speed of service, and average purchase value, enabling companies to effectively manage in-store activity.

5. Data Monetization

The value of your business can be increased directly by investing in and maintaining high-quality data assets, and you can also generate revenue by selling this information to other businesses and individuals while complying with the local and international laws.

Six Considerations While Designing Your Data Strategy

Once your company has shifted its perspective to treat data as an asset, you will be able to create a sustainable data driven plan. A solid data strategy should work toward creating a sustainable internal capability for the business. Understanding of what to measure, how to measure effectively at scale, having a well-organized workforce, and the appropriate tools and technology are all critical for creating a successful data-driven strategy.

It's possible that many departments within an organization have their own methods for data management and analysis, but it's important to have a unified plan to create a shared road map for bringing everyone's priorities into harmony.

1. Understand Your Business Goals

Every day, your company generates a staggering amount of data—probably in the billions. If your data management approach is not informed by your business objectives, you may squander time and money collecting, storing, and analyzing the wrong types of data. To begin, communicate with the diverse stakeholders and business unit leaders within your organization to acquire insight into their daily operations, challenges, and long-term goals. This will help you visualize the most pressing needs, identify areas of overlap, and prioritize your objectives. You will need to dissect the goals into the KPIs and quantifiable measures that influence them in order to identify the datasets you'd want to analyze and formulate the right queries to ask accordingly. Typically, it is beneficial to pose questions such as:

  • What are the company's long-term goals?
  • What information do you need to achieve these goals?
  • What specific knowledge and data are needed to advance these efforts?

Create a plan based on the top three to five use cases for your company's data. They will guide the selection of processes, tools, governance, as you work toward your business goals.

2. Identify Your Key Data Sources

Every company creates a plethora of information (structured, unstructured and semi structured). It's crucial to know not just what kind of data is being generated, but also where it's coming from. As we move toward a future replete with loT devices, the amount of data being generated is expected to rise exponentially; so, it is wise to start by developing a list of your most critical data sources.

This not only helps teams get a bird's-eye view of all the accessible data sources, but it also facilitates the optimization process to enhance your business operations.

3. Set Up Your Data Management and Governance System

What kind of data (structured, semi structured or unstructured) are you creating? Where do you currently store your records? Have you considered creating and scaling your own on-premise data storage infrastructure? If you know what kind of resources you have at your disposal, you can pick the best data warehouse investment for your company.

When it comes to improving the efficiency of your BI solution, cloud data warehousing is one of the most viable solutions because of the unrivalled scalability it provides. Data hubs, Data lakes etc can be used to enhance and make the most of your data warehouse investment.

Data governance allows you to define who within your organization is responsible for managing data assets and what their responsibilities will be. This will make it possible for more individuals to have secure, controlled access to the data they need to generate insights.

4. Choosing an Optimal Business Intelligence Platform

Selecting a Bl solution that streamlines and simplifies your organization's data strategy is essential, as many businesses are still using BI solutions centered on dashboards and reports. In addition to just fostering data democratization which gives every member of your team access to insights whenever they're needed, with the help of automated insights enabled by machine learning, users will be alerted in real time whenever an event of significance occurs.

5. Transforming Insights into Plans of Action

While it's crucial to generate insights, your data strategy should also provide direction on how to implement those insights into solutions that yield measurable outcomes. Include a data-driven storytelling process in your strategy to better inform your users and executives. This will be useful for giving data-driven presentations to external stakeholders like investors and customers and internal stakeholders. Your data strategy should equip your teams with the techniques they need to craft an engaging narrative out of the insights gleaned from your data in order to win over the hearts and minds of your executive team so that they'll take action on your findings.

6. Defining Your Team Roles & Responsibilities

Your data strategy will no longer have to be concerned with the time-consuming but essential tasks of data preparation and processing, which were previously under the purview of specialists.

You can organize your users to perform the functions of a modern analytics team by assessing their relative strengths, limitations, and skills. Your data strategy can help you build a lasting legacy and effective organizational structure that will facilitate your company's transformation into a data-driven success story by delegating tasks to the right people.

Formulating an Effective Data Strategy for Your Organizational Success

It is becoming increasingly important for businesses to update their data strategies in order to keep up with the rapid pace of advances in the technology space. The successful application of data necessitates a well-thought-out data strategy. Successful strategies and procedures for managing corporate-wide information sharing will allow the organization to accomplish its goals. Therefore, businesses that have not yet implemented a strong data strategy should do so as earliest as possible. Doing so will ensure that your business practices remain up to date. It's important to work with someone you can trust when designing a data strategy.

We at Qentelli find tremendous satisfaction in supporting our clients in formulating comprehensive plans and strategies for handling their data. Our team includes experts who have created and implemented data strategies for a wide range of businesses. If you are still unsure about how to implement a data strategy, please get in touch with our data consultants. Simply send an email to