Data Analytics: How Successful Product Startups Are Scaling Their Businesses Today

November 11, 2022
Data Analytics: How Successful Product Startups Are Scaling Their Businesses Today

Anyone that has started a business from scratch can attest to how difficult it is to successfully launch a product to the market. Business owners have to get involved with every aspect of the enterprise to ensure everything is up and running. Building a startup is even more challenging, especially if you do not implement any analytics. 

Startup founders often have great product ideas but little to no capital and a smaller pool of staff to work with. They have to be present in almost all departments for their employees to get a glimpse of their company vision. The good thing is that data analytics has made it much easier for product startups to scale their businesses. 

Data analytics allows product startups to get valuable insights that make decision making much easier. With a data-driven approach to doing business, you can streamline your operations in production, finance, inventory, marketing, and even sales. So, what are some of the benefits that you get when you incorporate analytics for startups in your business?

7 benefits of analytics for product startups

Startups that incorporate data analytics in their operations can track and analyse data across different data points in their business. This offers a myriad of benefits and eases the scaling process for most product startups. Some of the benefits of data science for startups include:

1. Right metrics

Many startups do not have access to unlimited resources, which makes it important for them to get the right metrics across the production line. The last thing you want is to incur extra warehousing costs, for example, for producing more goods than you need. With data analytics for startups, you can use the data you collect across the supply chain to find the right metrics.

Another instance is when a startup produces electric vehicles that can use data analytics to determine their monthly production by looking at the average sales they make. This not only enhances efficiency in your business operations but it also helps reduce waste. With the right metrics, businesses have a clear idea of their business operations and can make informed decisions based on data.

2. Clear visibility for decision making

Business owner making decisions

Fast and accurate decision making is crucial in business, especially if you are running a startup. Making decisions slowly can affect the efficiency of your business while the wrong decisions will affect your production line. But this is where data analytics comes in.

Business analytics gives you real-time data from different areas of your business such as inventory and sales. With real-time data you get to make smart decisions that enhance productivity and increase the efficiency of your business. Feedback from your clients, for instance, will tell you if you need to re-develop your products or which areas need more resources.

3. Data sharing across teams

Big data analytics is also crucial for data sharing across teams. In previous years, you would need to hire an analytics person or department that would convey information to your staff. Product startups today can integrate data analytics in their systems so that everyone can view and utilise data reports.

This presents various benefits to product startup founders and their stakeholders. Both management and employees can easily access these data reports that allow them to monitor trends and adapt to them. For example, changes in product consumption can influence the decision to reduce or increase inventories.

4. Solves problems faster

One of the reasons to incorporate data science for startups in your business is the ability to detect and solve problems faster than when you’re using traditional methods. Startups need to adapt to changing times and the ability to recognise and address challenges can save resources, effort and time.

Access to crucial data from your business is the only way to highlight problems before they morph into bigger issues. For instance, you can use data analytics to discover slow moving inventory before they sit in your warehouse for months. With such information, you can find effective solutions faster than when using other methods.

Being able to pinpoint problems in their initial stages also makes it possible to find the best strategy for your problems. Discovering these issues in their last stages can lead to hasty decision making, which may not be best for product startups.

5. Targets the right market

Finding the right target market makes it easier to scale and saves you from burning lots of cash in marketing your product to the wrong audience. But how does data analytics help you achieve this?

With a good data analytics team, you can collect data from the different channels that you use to interact with your customers. You’ll get an idea of your target market once you start collecting information from, say, the store inventory outlining which goods are preferred by your different customer segments. And with the right target market, you can use this data to find more clients or tailor your services to your current ones.

Going through previous sales and choice of delivery is another great way to find out what your customers love. The best thing is that this also allows you to customise your product offerings to your target market.

6. Improves productivity

Productivity Checklist

Having access to sensible data allows you to find and focus on the most important aspects of your business.

Your business can use data analytics to identify top performers and their work habits, which other staff can emulate. It is also easier for you to highlight the best working conditions and offer these. Moreover, data analytics helps you focus on the right things. Working on the right things motivates your staff and enhances their productivity at work. The employees will also find it easy to access the business analytics making it easier for them to work.

7. Better supply chain management

Supply chains are often rigid systems but they have recently been improved thanks to big data and data analytics. Savvy businesses need to integrate data analytics systems into their supply chain to take advantage of their benefits. Some of the common challenges that data analytics can address in business include keeping up with stock, finding the best supplier, determining the best products among others.

Data analytics also allows you to get other insightful data that can improve your supply chain management to include customer delivery preferences, shipping methods, payment preferences, and customer satisfaction.

Scale your product startup with data analytics

Profitable businesses today are taking advantage of data analytics to scale their companies and make their operations more efficient. The good thing is that you need not create a whole department in your business to integrate analytics in your organisation. Working with competent data analysts and freelancers will also get you the same benefits and more. And while it was previously difficult to find good data analysts, Pangaea X has made it possible to find you a competent data expert. Click here for more information.

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