Data Analysis

5 Steps to Getting Started With Big Data for Small Businesses

5 Steps to Getting Started With Big Data for Small Businesses

So, you must have heard something about big data. The information you received may have made it seem as though big data is only for large corporations. 

Big data is large amounts of data sourced from a business’ activities. It is not normal data hence; it cannot be analyzed so directly. It is true that big data is more suited tolarge companies. However, this is because big data analytics are known to be costly and time-consuming. 

Thankfully, times have changed and developments in business now make it possible for everyone to benefit from big data. As a small business owner,it is essential to take part in its great benefits. This is made possible by the application of suitable tools and techniques. 

Read on to learn 5 effective steps to getting started with big data for your small business. 

What is Big Data?

What is Big Data?

Big data is a term common to both large and small businesses. Almost every business owner has heard something about big data, but not all know what it really is.

Big data can be understood just as it sounds; it is data in large sizes. It is aptly defined as a large amount of data in both structured and unstructured forms. Big data is so named because it cannot be analyzed with traditional data processing methods or applications. It requires a different approach and software.

Google Analytics VS Adobe Analytics

Google Analytics VS Adobe Analytics

As a digital marketer, your success in this niche depends on a lot of factors which include your tools, and resources. There are several essential digital marketing tools available to guarantee efficiency and business success. One of such vital tools is a web analytics tool. Web analytics is described as the measurement, evaluation, collection, and reporting of web data to foster the understanding and optimization of a web page. Google analytics and Adobe analytics are the most popular web analytics tools on the market.

What to Consider When Hiring a Data Science Team

What to Consider When Hiring a Data Science Team

In this article we will discuss what to consider when hiring a data engineer, a data analyst, a business intelligence developer, and a data scientist. Keep in mind that for a successful data driven organization emphasis must be placed on developing capable teams rather than individuals. A variety of background and experiences bring improved efficiency to the team. 

How Interpreting Data Improves Your Business and Profitability

How Interpreting Data Improves Your Business and Profitability

Modern business management is made up of three pillars. These pillars include data, analytics, and business operations. Businesses generate large volumes of data and often struggle to get value from these data assets. Once data is understood it is easier to develop projections, improve operations, and reduce waste. 

How to Organize and Wrangle Data

How to Organize and Wrangle Data

Organizing your data makes it very easy to gather relevant information from your data. In an organization there is often multiple sources of data that need to be brought together to provide a complete view of your processes. The process of combining data from multiple sources into a single repository is referred to as data integration

How to Gather Data

How to Gather Data

To gather accurate data you must begin by collecting, analyzing, and interpreting the right data. In an order to collect the accurate data you need to follow an organized and systematic way of gathering all the pieces of information from the sources available to you. When gathering data you can collect quantitative data, qualitative data, or both.