Why Data Strategy Is Becoming a Boardroom Priority

Data is no longer seen as a resource for operational reports. In many organizations, it has evolved into an organizational strategic asset that drives long-term planning and decision-making, risk management, and overall business performance. With disruptive technology resulting in ever-increasing data volumes generated by companies, leadership teams are continuously looking for ways to leverage their data to provide better decision-making and more visibility throughout their organizations. 

The result of this trend has elevated data strategy to being an agenda item at the board level. As such, data is now considered a business-level priority that requires executive sponsorship and structured planning, versus being a function solely managed by the IT function. To meet this need, many organizations are pursuing integrated data analytics (IDA), along with business intelligence (BI) solutions, to transform their raw data into meaningful information and insights to support the leadership team’s decision-making. Partnerships such as Techcedence assist organizations in achieving their goals. 

From Data Management to Data Strategy 

Over the years, organizations have been more concerned with how to manage their data than with how they can use their data to drive strategic decisions. As a result, there are often databases of multiple systems that hold various types of data, generate reports on a regular basis, and reports that provide insight into only past performance. The use of this type of information has enabled organizations to monitor the operation of their business, but it has rarely provided helpful information for making decisions about the future. 

In contrast, A modern-day data strategy focuses on connecting multiple systems and databases, data integrity, and providing timely access to decision-makers so that the decisions being made today are based on trends, forecasts, and insight into a specific business strategy rather than simply relying on historical events. 

The Business Risks of Weak Data Strategy 

Companies that do not have a comprehensive data strategy run the risk of having data that is dispersed across numerous distinct systems, often creating duplicate entries within them as well as incomplete versions of data. If the reporting from different business units contains some conflicting information or is otherwise inaccurate, the confidence that decision makers have in the information will diminish. 

Operating in a complex environment with poor data governance creates additional operational risks and compliance risks due to a lack of complete visibility into the performance of the business; weak data governance also increases the incidence of data quality challenges and is subject to regulatory scrutiny. The amount of data being generated continues to increase, making it more difficult to manage these many risks; all of these risk factors further emphasize the need for a well-defined approach to how data should be collected, governed, and leveraged throughout an organization. 

Data as a Competitive Advantage 

Organizations that consider data to be a strategic asset will have a much greater ability to make good decisions and respond to market conditions more quickly than those that don’t. When the data organization is reliable, it enables their leadership teams to quickly recognize new trends in the marketplace or with their customers and accurately assess their operational performance. Organizations can also predict and prepare for events rather than just reacting to them after they’ve happened. 

Providing trusted access to insights makes the decision-making process quicker and more efficient. Many different types of business functions, including sales strategies, supply chain planning, and customer engagement initiatives, can benefit from using data to develop insights. Over time, this allows organizations to leverage their ability to turn information into action, which leads to improved efficiencies, stronger customer relationships, and competitiveness in an ever-changing global economy. 

Why the Boardroom Is Now Involved 

The increased impact of data on revenue growth, operational efficiency, and risk management has made it a subject of interest for executive leaders. More frequently than in past years, board members and executives at other leadership levels are requesting to see how reliable the entire organization’s data is and to know how they can use that information to make strategic decisions. Questions regarding forecasting accuracy, performance visibility, and long-term planning have become reliant on the underlying quality of the data being used. 

As the importance of data has grown, the focus around data strategy has shifted from being a technical conversation to presenting a leadership priority. In requiring greater visibility into a company’s performance and improved confidence regarding strategic decision-making based on insight, many organizations have begun to enhance their analytical capabilities and governance frameworks to allow for effective support of executive-level discussion around data and long-term planning. 

Core Pillars of an Effective Data Strategy 

The implementation of an effective data strategy relies on multiple core components that provide dependable, easily obtainable, and strategically relevant data. 

Data Governance 

With effective governance, roles are defined; accountability is assigned as well as standards for data use are developed within the company. This allows for continued confidence in the information being used by those making decisions. 

Data Integration 

Most companies will have their data stored across a number of systems such as ERP, CRM or other operational systems, and integrating these various systems will help avoid siloed data and create a single view of the overall performance of the business. 

Data Accessibility 

Getting insights that can be acted upon will be dependent on ensuring that the right people can get this information when it is needed. Business Intelligence (BI) tools and structured analytical environments assist in providing access to the right information at the correct time without providing users with excessive information. 

Data Security and Compliance 

As businesses continue to rely on data to manage their operations, they will also need to increase their focus on protecting that data. In addition to having a sound security framework, there also needs to be a compliance framework in place to ensure that sensitive data is managed in accordance with all regulations and laws. 

Techcedence assists organizations with the implementation of scalable BI and data analytics solutions in support of the principles outlined above, while also aligning data-related capabilities with a broader business strategy. 

Building a Data-Driven Culture 

The success of a company’s Data Strategy is not just dependent upon technology, but on how its employees at all levels are able to apply data within their everyday work. When teams have access to insights that help them make decisions, they begin to create a data-centric perspective rather than simply seeing data as a reporting mechanism. 

To develop this type of culture, it is important to encourage transparency, encourage data literacy, and ensure employees are equipped to read and analyze analytics. Leadership must set an example and show how data-driven thinking benefits organizations in the areas of strategic discussions and operational reviews. When teams see data used consistently for measuring and guiding their work, over time, they develop a trusted basis to make organization-wide decisions. 

Conclusion 

Data strategy is now an integral part of how corporations organize their business and compete regardless of industry; this has been driven largely by technology and the vast amount of data being produced daily. Successful companies will need to use data as the basis for planning, competing, and growing their businesses by making informed decisions that help manage risk tightly. 

From an operational perspective, data strategy has evolved from IT departments solely having responsibility to the entire organization at the board level and having a significant impact on long-term planning and performance of a company. Companies that have established strong governance, applied integration of their IT systems, and provided easy-to-use analytical tools for employees to access data are successful in leveraging their data to make confident, forward-looking decisions.