Startup Edition Navigating the errors that startups make with data

1. Startup Edition: Navigating the errors that startups make with data In start-up, the data plays a very important role as it helps to analyze the growth of the business. Data can be used for multiple purposes as it can give you a clear report of the success and the areas that need to be improved. Data is beneficial in decision-making, improving customer satisfaction, strategies for marketing, business operations, statistics of the regular customer, and many more. With all these statistics you can work on the loopholes of the company, it is like an overview of the business and its success. Startups, as they are in the initial stage of the business it is very necessary for them to analyze these data and make a strategic move to make their company a unicorn. In this article, we will discuss the startup data mistakes that need to be focused on by the startups to make the proper use of data for the growth of the company. Data Security The most common mistake startups make is neglecting the security of their data. With the advancement in technology where there is a high threat to data due to cybersecurity, it is most importantto take the appropriate measures to protect their data. The data also contains the information of the customer that needs to be protected from the hacker for prevention of misuse. This will also help to gain the trust of the customer in the services provided. To learn more about cybersecurity visit The APAC Entrepreneur Early involvement of data analyst Startups will be very enthusiastic to complete all the tasks early and make their company a big success, in this path the hiring of a data analyst at an early stage may not be a good decision in all cases. The dependency on a single system without building a data team will lead to a loss of resources and there will be more chance of wasting time for analysts by doing things manually. In the initial stage, it is also necessary for every individual in a team to be involved in the self-service to analyze the data to see their work report and the areas that need improvement. Data Infrastructure Initially, it is difficult for a startup to build an infrastructure that can store, analyze, and gather the data from their services. But in this stage, you should analyze the simple data present in the spreadsheet and implement the new strategies in

2. marketing products, improving the services, finance, etc. Doing so will be helpful in decision-making and also in building the foundation of the dream company. Data Governance and Privacy Compliance Establishing the proper data format and data governance is what startups look for. There is a need for a proper and structured framework for the maintenance and management of the data. This will help in proper utilization and avoid chaos issues. Data privacy regulation needs to be undertaken to avoid any sort of legal complaints in the company. Some of the data privacy regulations are CCPA and GDPR all the guidelines must be followed to avoid mistakes in data privacy and startup data management issues. Data Silos As startups grow in the business, they will face the challenge of data silos which means hindering or isolating the collaboration of the data between different teams. There will be a lot of side effects that will stop the innovation of new strategies and the analysis of data from different perspectives. This also affects the operation of the business and most of the time becomes useless or less valuable as there will not be the maximum usage of data. Hence there will also be barriers to organizational efficiency and success. Conclusion In conclusion, to be a successful startup along with hard work there is also a requirement of smart and strategic work. Startups tend to fail due to a lack of experience and a clear goalone can prove it false by correctly executing the plans and strategies. The data acts as a very essential resource in analyzing your customer and their requirements through which you can bring updates to your products and services. By avoiding data errors in the startup that are mentioned above you can see noteworthy changes in the business growth.