Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in…

When it comes to Data Science, the most recurring topic is modeling. Quite a few articles out there talk about data preparation and only a bunch about how to communicate your results properly. However, there are hardly any dealing with the topic that we are going to cover today: data enrichment.

In our experience with helping companies to start using their data…

The Forrester report “Predictions 2018: A year of reckoning” predicted that 80% of firms affected by the GDPR will not be able to comply with the regulation by the time it comes into force on May 25. Of those noncompliant firms, 50% will intentionally not comply.…

When a systems integrator selects a data integration tool, it needs to consider a number of selection criteria.

A key criterion for vendor selection is systems compatibility.

The selected tool must foremost be able to interact with the specific systems that the customer's company uses in the project under…

It wouldn’t take a genius to notice the evolution of modern technology. In just the past ten years, we’ve watched the flip-phone transform into the smartphone and the automobile inch towards autonomy. Within our own space, we’ve noticed similar shifts, as the resurgent process of data virtualization is growing in importance within the larger data integration market. To further understand the nature of this shift, we take to Gartner:

“As data…

Data integration requires merging date from different sources, stored using technologies. Companies build a “data warehouse where aggregated data can be stored and retrieved. This is particularly useful for researchers looking to big data to aid in their investigation and corporations usually during the merging with other companies.

According to…

Cloud data replication is good for backups, but what else might you do with it? For forward-looking users, data replication in the cloud is also a lever for better information, increased autonomy, enhanced productivity, and bigger business opportunities down the line. By conserving an untouched valid reference copy of data, users are free to process or change the other replicated instances, according to their individual…

guest blog by Jin Kim, VP Product Development for…

Many businesses are feeling the pressures of data overload. Consequently, many businesses have databases that look like the picture below.

Businesses are stockpiling more data than ever before. From machine-generated data, social sentiment, transactional data, and emails, many companies feel as if they are drowning in data. According to a report by the…

Relationships are built on trust and mutual understanding – if a company wants customers to trust them with their data, the company must foster that trust. Data governance and sensitivity about your customers’ data must be enforced internally and communicated externally – to your customers.

When…

Relationships are built on trust and mutual understanding. Building a 360 degree customer data profile facilitates the marketers’ understanding of their customers.  This in turn, helps marketers provide their customers the best experience and service, target product offerings, and produce relevant communications. The key to building a 360-degree customer profile is aggregating as much relative data as possible.  Centralizing the 360-degree profile in an easily accessible and robust…

Excellent customer communications is now a recognized component to drive sales and give Insurance companies the competitive advantage. Here are some tips when utilizing analytics to solve marketing solutions while keeping the customer in mind:

• Create a single profile of the customer. Use big data and data management strategies, such as refining existing platforms to provide the ability to…