Editor’s Note: Below is an excerpt of an article written by Islam Salahuddin, a Business Research Analyst at The KPI Institute. “The Key to Developing a Powerful Data Strategy” is originally published in the 22nd PERFORMANCE Magazine – Printed Edition.

Amidst the buzzing world of data, companies may find themselves directly diving into analytics due to the fear of falling short and missing out. However, many resources can be spent on catching up on the race but end up with no real results.

That happened to 60-85% of big data projects, which IBM reported to have failed because they focused solely on technology. IBM added that the projects did not have a data strategy and a data-centric culture supporting  business objectives. 

Meanwhile, the Massachusetts Institute of Technology’s MIT Technology Review Insights survey of 357 business leaders and decision-makers in July 2021 has revealed that only 20% are implementing a data strategy. While 30% of the respondents have a data strategy in place, they believe it still has gaps.

What Makes Executing a Data Strategy at Scale Difficult

According to 42% of MIT’s respondents, the main challenge for implementing a data strategy is access to “more sources of data, including demographics, competitor, and geospatial information.” Thirty-four percent admit they need help with extracting meaningful insights from their data, while some believe they need “better tools and infrastructure for data storage and analytics.”

In the survey’s report, “in unpredictable times, a data strategy is key ,” says Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services,  emphasizing that all the challenges mentioned by the respondents can be blamed on “cultural obstacles” within their organizations.

“We talk a lot about technology, but one problem we hear from leaders is overly centralized, HIPPO-based decision-making that stands in the way,” Vachhrajani said. He also blames the challenges to governance structures that are no longer effective in bridging people who understand and work with data and frontline employees involved in decision-making and customer interaction.

In the same report, Jonathan Lutz, Director of Technology at Aquiline Capital Partners, describes the implementation of a successful data strategy as an “all-hands effort.” He recommends strong support from the top and buy-in across the organization.

For Vachhrajani, a successful data strategy is driven by leaders who invest in equipping people with the right skills and adopting technology across the company.

To learn more on how to establish an effective data strategy, read the full article in the latest edition of PERFORMANCE Magazine. The 22nd PERFORMANCE Magazine – Printed Edition caters the role that data plays in transforming organizations as they achieve excellence, growth, and success. Grab your copy in the TKI Marketplace now!

Big data now plays a crucial role in every business’ success. Through the application of analytics, data analysis is allowing businesses to become even more competitive. 

Organizations adopt big data and analytics to analyze massive volumes of data generated by offline and online trading. Based on the Big Data & Business Analytics Market Statistics 2030, the value of the global big data and business analytics market is estimated to increase to $684.12 billion by 2030 from $198.08 billion in 2020. 

The goal of data analysis is to extract meaningful information and use it to make informed business decisions. By analyzing and comparing previous and new data, organizations can understand what happened in between. Then, organizations can come up with metrics and action plans to drive their performance. It involves boosting customer loyalty, increasing sales, improving and retaining successful practices, and enhancing employee productivity.

According to a PwC poll of 1,000 corporate executives, data-driven firms were three times more likely to achieve big gains in their decision-making capabilities. 

A data-first approach is required for a digital-first enterprise strategy. In a multi-cloud context, a well-planned data strategy for a digital company gives “business transformation opportunities, cost reduction, better engagement, and maximum flexibility.”

To get the most out of data, organizations must create an effective data analysis process. This procedure entails objective setting, data collection, cleaning and analyzing data, and data visualization.

Before collecting data, defining the goals of the organization is important. Businesses can choose the type of data to collect and evaluate it to ensure it is aligned with their goals. Then, businesses must integrate data using tools such as Informatica PowerCenter, SQL Server Integration Services (SSIS) by Microsoft, AWS Glue by Amazon Web Services (AWS), and Alteryx Designer.. 

All data must be gathered in one place to be examined. Companies must clean their data by removing irrelevant and unwanted information, fixing structural errors, and filling out the missing data in order to produce accurate findings. To better understand the data, organizations should use data analysis software and other technologies. 

Some data analysis software available are XLSTAT, the leading data analysis and statistical solution for Microsoft Excel; Python, a powerful tool consisting of materials for any aspect of scientific computing; and SAS, a statistical software for business intelligence and data management.

To acquire useful insights, businesses should dive deep into the data. They should analyze and narrow down the results of the gathered data to draw conclusions. Then, organizations must interpret the results to figure out the best next steps to reach the goals established in the beginning of the process.

Organizations should deliver information in a readable and understandable format. Businesses can present data using graphs, maps, and charts. Data visualization can help companies compare data sets and observe their relationships.

Data analysis helps anticipate future trends more precisely, allowing organizations to determine where they are headed and what they need to get there.

To learn more about data analysis, explore The KPI Institute’s reports and free webinars and stay tuned for the next schedule of the Certified Data Analysis Live Online Course.