As a startup’s product adoption soars and customers start flooding in on an exponential basis, startups face the challenge of an influx of volume and variety of data from multiple sources. With all this messy data in hand, executives know that the next de ...
From Data Request Overload to Strategic Clarity: A Data Leader’s Guide
Navigating Complexities in a Large Data Team Consider the scenario where a VP of Insights oversees a substantial team of 125 data analysts and scientists. This team, while highly skilled and experienced, often grapples with a common challenge: prioritiz ...
Data Literacy Assessment : How to use them to start or scale data literacy?
Unlock the potential of data literacy assessments with a strategic guide. Learn the sequential steps to kickstart assessments, tailored to your choices. Define goals, competencies, and skills for a culture of data excellence.
Data-Driven Culture for 2023 and Beyond
Why does a data-driven culture matter? There are several reasons. The most important one is that the data in your organization has tremendous value. Organizations that tap into this outperform their competitors. A data-driven mindset is the key to unlocki ...
Top 5 Reasons Why Data Projects Fail?
A data analyst, Eric discovered a troubling trend in his company's customer data. The churn rate was alarmingly high. Concerned about the impact on the business, he mobilized his team to investigate the problem. Eric and the team spent significant time ...
Mythbuster: Only Data Scientists Can Analyze Data
Many people think you need to be a data scientist to extract insights from it. This can’t be further from the truth. Typically, a data scientist is considered as someone who uses statistical methods, machine learning, and AI approaches to solve problems, ...
Analytics Framework: The need of the hour for Analytics teams
This is the last post on 2022 readiness in the Series C Growthonomics. So far, we have discussed as the head of data/ analytics how to get more value from your data by creating an analytics agenda that would help you figure out the 10 to 15 problems to wo ...
How to use cohort analysis?
Cohort analysis is a technique used in several analytical methodologies, including customer analytics, for dividing users into groups with common characteristics. Analyzing these groups, or cohorts, can help companies understand user behavior. Cohort a ...
How organizations can prevent data security breach?
Antonio Neri, the CEO of Hewlett Packard Enterprise, had said in 2019 that "Data is the new currency". Neri had seen how companies were evolving with data. This digital transformation is still underway and likely to continue. With data being equivalent to ...
Why should you use a data management system?
Data management is the practice of collecting, storing and using data effectively and securely so that data can drive the decision-making process. Effective data management is crucial to companies that want to develop a data culture. It is a component of ...
Data Science Process: Why you should ask the real business question?
Driving a car without knowing the direction does not make any sense. We will not reach where we want to go. We need to have the right information about the trip so that the journey can be planned accordingly. Imagine running out of gas just because you di ...
Data Literacy Training: How to develop a learning solution
As we become more and more technology-driven, data has emerged as a universal language for this advancement. Companies are adapting to the change and investing in data. However, many have failed to understand the importance of data literacy. To achieve th ...
What is data-driven leadership?
Data-driven leadership is the most critical aspect of scaling data literacy across an organization. Leaders align data literacy to business impact, they foster a decision-making process that is data-driven and champion a common data analytics process. Ali ...