The DataHero Blog

Why Your Startup Doesn’t Need Big Data

February 5th, 2015


The word “big data” has become so commonplace that it’s frequently used to refer to any kind of data analysis. In fact, the Berkeley data science department asked 43 experts what “big data” meant, and not one could agree on a uniform definition. Something that can be widely agreed upon, is the “3Vs” of big data; volume, velocity and variety. Few start ups have the volume, velocity, or variety of data that this refers to. While the experts are duking it out on definitions, let’s take a look at why your startup doesn’t actually need big data right now, and what you should be doing in your data analysis in the mean time.

Data analysis is all about answering questions with the data you already have available to you, and a tool like DataHero makes it easy to get those answers out of your data. Sometimes this idea gets muddied though, and we’re convinced that we need (insert newest buzzword here) in order to allow our company to run smoothly. At DataHero, we believe data analytics should be available to everyone, and it shouldn’t be difficult.

Data Ownership Doesn’t Belong To Only One Department

We all have access to far more data than ever before, in marketing, sales, HR, and so on. Because of this shift in accessibility of data, It doesn’t make sense for one department to be the gatekeepers of all the data in an organization. That strategy is just begging for a bottleneck. Of course, data scientists and business analysts are still important parts of any organization, but they shouldn’t be the only ones responsible for diving into company analytics.

Understanding that everyone is in charge of data is a best practice to perpetuate a data-driven culture. Empowering every employee to analyze their own data sets a precedent for data-driven decisions.

Non Data Scientists Have Access To Data

Similar to the last point, so many departments have access to an unprecedented amount of data that we have to start trusting our non-data scientists to make data driven decisions for themselves. This means startups need tools that are easy to use and that provide the flexibility to pull data in from sources that are not within a database. Customer support services, marketing and sales services are all in the cloud and all produce a lot of data that is ripe for analysis. Using various services across the company ensures productivity, and that flexible data tool ensures

We also know that employees at startups are wearing multiple hats, and time is a valuable resource here. If each employee is responsible for his or her own data analysis, that data scientist can work unencumbered on other (still incredibly crucial) data questions.

Your Company Needs Data Analysis Now

Big data can take a while to implement correctly, and you’re likely already using the services that will track the data you need. It’s not necessary to wait on IT to build custom integrations, or create reports for you. Cloud BI (data analysis within the cloud) doesn’t restrict companies by forcing them to either integrate with cloud services or download datasets into a database. Instead, you can visualize your data right within the cloud, create the charts you need to monitor your business, and save them in a dashboard. That way you also don’t have to log in to five different services to answer a few questions about your marketing strategy, for example.

Data allows us to make informed decisions about our businesses, so why would we wait to implement a strong data analysis base?


It’s easy to fit cloud analytics into a shoestring budget, without sacrificing quality of analysis. It’s prudent to start off analyzing the data you currently have, then build on ROI as you go. Being able to analyze your startup’s data on a budget ensures that you’ll reach that next round of funding, with backed decisions behind you. Cloud BI gives you your data analysis quicker, better and faster and cheaper than any big data service will.

Startups are lean, fast and effective when they utilize their team and depend on services that can be used across the board. Big data certainly has its place and your initiatives to implement big data are important. However, while you’re waiting to get to the right place for big data to come into play, enable your startup employees to be more efficient and effective with the data they already have. DataHero is a self-service cloud analytics tool that’s easy to use, connects to services that you’ve already integrated into your business, and it enables clear communication on data analytics findings throughout your organization. Ready to give it a try?


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By Kelli Simpson

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