.svg)
The ravages of the pandemic and the recent economic upheavals have forced organizations worldwide to modernize their processes as a matter of survival. This has resulted in a tsunami of data. Research from UBS - a global investment bank - indicates that business-generated data will grow tenfold (reaching 660 zettabytes) between 2020 and 2030.
The challenge for organizations lies in efficiently harnessing and using this vast amount of data to tackle business challenges. Here are key strategies to use data-driven insights to unlock new growth.
Market research provides an accurate picture of your audience, their preferences, and what inspires their purchasing decisions. Further, it covers everything from product positioning to pricing and industry trends. Data insights about your consumers’ demographic profile, motivations, needs, and pain points can provide valuable insights into which product features affect demand and customer satisfaction.
For instance, through customer feedback and research, you may discover that language learners want a mobile app that offers pronunciation assistance and real-time language translation. This insight will prompt you to implement these features into your interactive app.
So, by analyzing the data, the developer uncovers two new features they could introduce to unlock new levels of reach and growth.
Track each step of the conversion funnel to see how customers move through it and how they reach the AHA! Moment, and every touchpoint they encounter. By mapping out the customer journey, you can pinpoint touch points that need improvement to streamline the conversion process.
For instance, you might notice a high rate of users dropping off during checkout, particularly on the payment page. This insight suggests crucial concerns with the site’s user interface or mistrust in the security of the payment tab, both of which require immediate resolution.
Decision-makers in marketing should leverage user experience data insights to fine-tune their campaigns and inform strategies that give customers more individualized interaction. According to a McKinsey report, a tailored customer experience raises brand ambassadors, encourages customer loyalty, and increases revenues. By analyzing feedback on feature requests or bug reports, for instance, businesses can unlock improvements that enrich user satisfaction.
Maintaining QC in product innovation is vital to the sustainability and growth of any organization. Businesses can use product usability data to get insights into their operations, identify potential problems, and make quality-improving decisions.
Similarly, it’s important to monitor and measure critical KPIs throughout the product innovation lifecycle. For instance, manufacturing companies use data to gain insights into their production processes to increase efficiency and reduce costs.
Through predictive analysis, data-driven businesses can anticipate quality problems before they occur to avoid customer dissatisfaction and costly recalls. An e-commerce business, for example, can use after-sales data to predict patterns of complaints from customers and resolve any underlying problems with product quality.
In today’s highly competitive business environment, companies must learn to use data-driven insights to unlock new growth opportunities and position themselves for long-term prosperity. Data insights aren’t just a nice-to-have but a must-have. However, transforming data into actionable insights requires effort, patience, and precision.
The ravages of the pandemic and the recent economic upheavals have forced organizations worldwide to modernize their processes as a matter of survival. This has resulted in a tsunami of data. Research from UBS - a global investment bank - indicates that business-generated data will grow tenfold (reaching 660 zettabytes) between 2020 and 2030.
The challenge for organizations lies in efficiently harnessing and using this vast amount of data to tackle business challenges. Here are key strategies to use data-driven insights to unlock new growth.
Market research provides an accurate picture of your audience, their preferences, and what inspires their purchasing decisions. Further, it covers everything from product positioning to pricing and industry trends. Data insights about your consumers’ demographic profile, motivations, needs, and pain points can provide valuable insights into which product features affect demand and customer satisfaction.
For instance, through customer feedback and research, you may discover that language learners want a mobile app that offers pronunciation assistance and real-time language translation. This insight will prompt you to implement these features into your interactive app.
So, by analyzing the data, the developer uncovers two new features they could introduce to unlock new levels of reach and growth.
Track each step of the conversion funnel to see how customers move through it and how they reach the AHA! Moment, and every touchpoint they encounter. By mapping out the customer journey, you can pinpoint touch points that need improvement to streamline the conversion process.
For instance, you might notice a high rate of users dropping off during checkout, particularly on the payment page. This insight suggests crucial concerns with the site’s user interface or mistrust in the security of the payment tab, both of which require immediate resolution.
Decision-makers in marketing should leverage user experience data insights to fine-tune their campaigns and inform strategies that give customers more individualized interaction. According to a McKinsey report, a tailored customer experience raises brand ambassadors, encourages customer loyalty, and increases revenues. By analyzing feedback on feature requests or bug reports, for instance, businesses can unlock improvements that enrich user satisfaction.
Maintaining QC in product innovation is vital to the sustainability and growth of any organization. Businesses can use product usability data to get insights into their operations, identify potential problems, and make quality-improving decisions.
Similarly, it’s important to monitor and measure critical KPIs throughout the product innovation lifecycle. For instance, manufacturing companies use data to gain insights into their production processes to increase efficiency and reduce costs.
Through predictive analysis, data-driven businesses can anticipate quality problems before they occur to avoid customer dissatisfaction and costly recalls. An e-commerce business, for example, can use after-sales data to predict patterns of complaints from customers and resolve any underlying problems with product quality.
In today’s highly competitive business environment, companies must learn to use data-driven insights to unlock new growth opportunities and position themselves for long-term prosperity. Data insights aren’t just a nice-to-have but a must-have. However, transforming data into actionable insights requires effort, patience, and precision.
