Becoming a Data Driven Organization: Hidden Potential & Challenges

Data is a business gold mine for organizations, yet many companies struggle to unlock its complete potential. Through data, organizations can gain a better understanding of their customers. Acting on the data to make informed business decisions is not necessarily a straightforward process. A data driven organization can glean deep insights from data to update internal processes and respond directly to market feedback and improve their customer relationships. A data driven organization can also leverage data to identify ways in which they can create more value for their consumers.

Statista predicts that by 2022, the big data and analytics market will reach 274 billion dollars. Organizations are playing a vital role in the exponential growth of data by utilizing Big Data technologies for analytics to become data driven. In this article, we will explore how organizations can benefit from data and what challenges they face in the process. 

Unlocking the Value of Your Business' Data

Data helps companies to increase their value through the ability to identify successful and unsuccessful elements of an organization. By accruing data and turning it into business intelligence the savvy company forms a foundation for instant market response to feedback on customer interactions, and it can also gain new insights into how to do things more efficiently to create better relationships with its end users.

The Role of Data Analytics 

Data helps to identify patterns and also uncover key insights which can help your organization map the user journey and improve the overall customer experience. Each interaction creates a new data point to analyze how their customers feel about their interactions with your company’s various products and offerings.

Based on these interactions, analytics can play an important role in helping businesses curate intelligence surrounding relevant services, personalizing content for readers, improving conversion rates, building custom audiences and more. 

Leveraging Data Analytics for cloud products as well as other services is a critical first step for many organizations in the process of becoming data driven. Indeed, many large-scale organizations have an entirely individual department to handle, analyze and filter their data for useful insights to make informed business decisions. 

The Role of Data Science in Becoming Data Driven

Data science is emerging as one of the most important fields in our society because what is the gold mine of data without the means to analyze and interpret it for use. Data science covers a diverse set of technology, quantitative methods, and domain expertise and helps to derive insights and business intelligence from data for increased profitability and business success.

The data science process starts with a question, is followed by formulating a hypothesis to test, uses available data sources to test the hypothesis, and ends with insightful results to inform business decision-making. 

The following points are key steps in becoming a data driven organization:

Monitor the Customer Experience 

The first step towards being a data driven organization is to monitor the customer experience. Curate and gather feedback by asking your end users to share insights through surveys, reviews, etc. The information gathered from this step will be essential in helping your business identify any positive or negative loopholes in your product or service. 

You can then use this information to improve any aspect of your company, such as redesigning a product, so it's easier to use or changing the structure of the organization by hiring more people for customer service.

Engage in the Corporate Culture 

Once you have started monitoring the customer experience, it's time to engage with your company culture. The first step of engaging with your company culture is acknowledging that there are problems your organization needs to collaborate on to fix. It may take some time for employees to adjust their daily tasks to address these changes, but once they are on board, a company-driven paradigm for improvement will also help ensure changes are implemented in the workplace. 

Look for Valuable Insights

The final step to becoming a data driven organization is using the right business intelligence tools to look for insights. The right tools appropriate to your company and sector can significantly help you with your research and allow you to communicate with employees about the changes that need to be made in order to solve your customers’ problems.

What Does It Mean to Be Data Driven

A data driven organization strives to use data to make the best decisions possible. Organizations that are efficient in gathering and analyzing data can use this business intelligence to discover more about their own consumers and provide them with a better experience.

For example, a data driven company might be able to determine if their customers are more likely to shop online or in the store based on the time of day that they visit. They might also be able to identify which days of the week would be best for promotions or other offers by looking at what percentage of their customers buy something on those days. Data can tell companies whether certain customer segments are enjoying the product, thereby giving retailers an idea as to what to change in order to provide a better experience.

The Significance of Being a Data Driven Organization

Being a data driven organization will not only benefit your company, but embedding the processes to act on your business intelligence will also help attract more customers and support you to identify and fix problems with your products or services. 

The world generates an immeasurable amount of data every day now given how much the average person engages with technology in their day-to-day lives, and the only way to make sense of it all is by using effective data science tools.

The Challenges of Becoming Data Driven Organization

Although data driven companies often become market leaders, they also face various challenges during this journey. Following are some of these challenges:

Privacy Regulations

Organizations have to stay vigilant while collecting, analyzing or storing their customer’s data. It’s important as a data driven organization to comply with appropriate compliance rules such as HIPAA or GDPR and other data privacy policies to avoid any damage or fines.

Lack of Data Integrity

Data is only a valuable asset with an efficient data management system. Data governance is essential to maintain the integrity of data and protect it from any type of exploitation. Therefore, it’s important to implement a good data management system to support your position as a data driven organization.

Poor Data Solutions

There are hundreds and thousands of big data, data science, business intelligence and analytics solutions, but some organizations often end up engaging with a poor solution that is not a good fit for their data processes. Opt for reliable solutions with required features to extract actionable information.

Conclusion

Undoubtedly, data is now one of the most important assets for any organization. Becoming data driven involves setting up the right internal processes and tools to support collection, analysis and protection through a strong data management system. Such a company is then in a position to reap the benefits in form of detailed insights and patterns that will put them way ahead of their competitors

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