Unlocking Revenue: Mastering Data Practices for Business Growth

Business

The Cost of Bad Data Practices

A recent report by commercial data and analytics firm Dun and Bradstreet reveals that businesses are missing out on revenue opportunities and losing customers due to ineffective data practices. The research, based on a survey of 510 business decision makers in the US and UK, highlights the significant impact of poor data management on various aspects of business operations.

Customer Retention and Acquisition

Nearly 20% of companies have lost a customer due to using incomplete or inaccurate information about them, while an additional 15% failed to sign a new contract with a customer for the same reason

These findings underscore the importance of maintaining accurate and comprehensive customer data to ensure customer satisfaction and retention.

Financial Forecasting and Credit Management

The report also found that nearly one-quarter of respondents had inaccurate financial forecasts, while 17% offered too much credit to a customer due to a lack of information, resulting in financial losses

Accurate data is crucial for making informed decisions and mitigating financial risks.

Compliance Challenges

The survey revealed stark discrepancies between the US and UK, with compliance being nearly twice as big a concern in the UK, likely due to the challenges of meeting the requirements of the General Data Protection Regulation (GDPR)

More than 10% of organizations reported being fined for data issues related to compliance

Barriers to Effective Data Utilization

The way data is structured appears to be a significant barrier at many organizations. Nearly half of the respondents (46%) said data is too siloed to make any sense of it

The biggest challenges to making use of data are protecting data privacy (34%), having accurate data (26%), and analyzing/processing data (24%)

The Need for Data Governance and Stewardship

The lack of structure in data management might reflect the fact that 41% of business leaders said no one in their organization is responsible for data management

The absence of ownership could also explain why more than half of the surveyed organizations have not had the budget needed to implement effective data management practices

Monica Richter, chief data officer at Dun and Bradstreet, emphasizes the importance of making data governance and stewardship a priority, stating that clean, defined data is key to the success of any program and essential for mitigating risk and growing the business

Business

The Future of Data Management

The survey indicates a growing recognition that responsibility for data should be a priority for C-level executives

However, business leaders are divided as to who on the leadership team actually owns responsibility for data and how that might change in the future

All business leaders agreed that the CEO has ultimate responsibility for data, more so than even technology leaders such as the CTO or CIO

A majority of organizations acknowledged that data will be vital to their future success

However, fewer than one quarter of them said they have employees dedicated to data management or the right talent to implement effective data management practices

In conclusion, the report underscores the profound effect that poor data practices can have on business performance, emphasizing the urgent necessity for companies to prioritize data governance and stewardship. Neglecting these areas can lead to missed opportunities, inefficient processes, and heightened risks.

Data silos, where information is fragmented across different departments, often hinder collaboration and lead to inconsistent insights, making it difficult for businesses to make informed, data-driven decisions. Inaccuracies within data can distort key metrics, resulting in misguided strategies that affect revenue, customer satisfaction, and operational efficiency. Additionally, the lack of clear data ownership leaves companies vulnerable to regulatory non-compliance and cybersecurity risks.

By focusing on breaking down data silos, enhancing data accuracy, and establishing clear accountability, businesses can unlock new revenue streams through deeper insights into customer behavior, better anticipate market trends, and optimize operational processes. Furthermore, improving data governance ensures that the organization remains compliant with evolving data regulations, avoiding costly penalties and reputational damage.

Ultimately, companies that adopt robust data governance and stewardship practices are not only better positioned to enhance customer retention and satisfaction but are also more likely to drive innovation and maintain a competitive edge in an increasingly data-centric business environment.

Cyber Whale is a Moldovan agency specializing in building custom Business Intelligence (BI) systems that empower businesses with data-driven insights and strategic growth.

Let us help you with our BI systems, let us know at [email protected]

How DoorDash Became the Dominant Food Delivery Service

DoorDash

DoorDash‘s journey from a small startup to the dominant player in the food delivery market is a remarkable story of strategic execution and data-driven innovation. This article delves into the three critical elements that fueled DD’s rise: a clear strategy and operating model, relentless focus on execution, and a data platform that drives intelligence and automation.

Strategy and Operating Model

Their success can be attributed to their ability to find an underserved market segment and serve it better than the competition. By focusing on suburban markets and smaller metropolitan areas, DoorDash was able to capitalize on the lack of alternatives and the convenience it provided to residents

This strategy resulted in higher order values, lower customer acquisition costs, and better customer retention

Execution: The Key to Success

DoorDash’s relentless focus on execution has been a critical factor in their success. They have developed an “operational playbook” to launch, run, and scale local markets, with a dedicated team responsible for each aspect of the business

DoorDash has also been able to increase order volume per market and customer through performance-based marketing and subscription programs like DashPass

Data: Competitive Advantage

DoorDash’s data platform is a key driver of their success, allowing them to run granular optimization experiments and make incremental improvements across the food delivery lifecycle Their proprietary technology carefully optimizes the interactions between merchants, consumers, and Dashers, making the end-to-end experience seamless and delightful DoorDash’s data platform has also enabled them to develop real-time prediction services like “Sybil,” which powers machine learning models for search, dasher assignment, and fraud prevention

Data-Driven Intelligence and Automation: The Power Behind Their Analytics Platform

They has crafted an impressive data platform that fuels intelligence and automation, enabling granular optimization across its entire food delivery process. With a laser focus on the “Get 1% better every day” mantra, DoorDash leverages data at every step to refine its operations.

Their proprietary local logistics platform optimizes the interactions between merchants, consumers, and Dashers. This constant flow of data is fed into machine learning algorithms, which drive improvements. Whether it’s personalized content for consumers based on preferences or helping Dashers optimize earnings, DD’s data-driven approach ensures that every aspect of the platform becomes more efficient with each order.

Data collection is key in any industry, and DD takes this to the next level. Just as airlines track ticket sales or brokerages monitor stock trades, DD meticulously collects and analyzes food delivery transactions. These analytics aren’t limited to simple queries like “How many orders did we process yesterday?”—they delve deeper into customer behavior, marketing channels, and transaction methods. For example, they might track which ad prompted a customer to sign up or analyze the device or payment method used for an order.

DoorDash

This granular data gives them the ability to conduct A/B testing, experimenting with elements as specific as the order of menu items. Through continuous experimentation,the company fine-tunes everything from ad imagery to Dasher pick-up times, ensuring a highly optimized experience.

Their data-driven experimentation platform is a competitive advantage, turning their logistics engine into an intelligent, self-improving system. Whether optimizing Dasher dispatch or enhancing menu layouts, DD’s commitment to data and automation is a perfect example of how technology can fuel business growth.

Data is truly the heart of DoorDash’s innovation.

Conclusion

DoorDash’s success is a testament to the power of a clear strategy, relentless execution, and data-driven innovation. By finding an underserved market segment, developing a repeatable operating model, and building an economic moat with data, DD has emerged as the dominant player in the food delivery market

Their story serves as an inspiration for startups looking to disrupt established industries and build lasting

Cyber Whale is a Moldovan agency specializing in building custom Business Intelligence (BI) systems that empower businesses with data-driven insights and strategic growth.

Let us help you with our BI systems, let us know at [email protected]