Category Archives: Data Services
The importance of data-driven decisions
When it comes to making important choices for the greater good of an organization, intuition only goes so far. While a gut feeling can point executives in the right direction, having some concrete evidence to back up that thought can…
The disadvantages of dirty data
Businesses know the importance of maintaining strong customer relationships. Without good interactions on a regular basis, companies would struggle to sell their goods and services and increase their revenue. Organizations have a variety of methods they utilize to store and manage…
The importance of real-time data
Today, the quickness with which information is delivered is crucial to businesses and their customers. With the advent of social media, that fact is even more apparent as people rely on minute-by-minute updates for things like the news. Organizations can use…
3 advantages of using analytics
In the search for tools to help improve their practices, many organizations stumble upon analytics. Looking for meaningful patterns in certain data can yield the information organizations need to make their processes more efficient and effective. Let's take a closer look at…
What is segmentation and what are its benefits?
Customers are the lifeblood of companies in a variety of industries. Without consumers, many businesses would cease to exist. As a result, organizations are always looking for new and improved ways to increase their client base. The tried-and-true methods, however,…
Customer survey essentials businesses must include
Customer interactions are of the utmost importance to retailers - both online and brick-and-mortar institutions rely on their relationships to improve elements of their business. One of the strongest ways to gain in-depth information from consumers is the distribution of…
The costs of poor data hygiene
In a data-driven world, outdated or inaccurate information has far-reaching consequences, regardless of industry or business size. Customer information that is obsolete, incorrect or missing certain key factors equals dirty data. It all translates to problems for businesses, especially when…
