The picture of beautifully organized data that everyone intuitively understands and readily consumes has turned out to be a mirage or, in some cases, dangerous quicksand.

Your company planted a lot of data around yours, so now you can’t locate your favorite tree in the forest.

Recent changes in the fast evolution of ETL.

The way we see it, there are at least three areas of ETL that must be re-thought right away.

In this post, we’ll look at data onboarding in Retail and in Travel and Hospitality.

Data aggregators face a difficult challenge: how to ingest and organize the data they routinely receive from partners and customers?

Careful evaluation of these four key factors will help you maximize new product potential.

Changing market trends and increased support for the development of specialty treatments has created a prime environment for building pharma startups.

Getting business requirements right for any project is an art in itself. It’s common to find requirements incomplete, repeatedly changing, reprioritized or conflicting. Relax, it's not you.

Data masking helps reduce the unnecessary spread of protected data inside an organization while maintaining the usability of the data.

If conventional data prep doesn’t cut it anymore then where must one turn to?

Democratizing data preparation through collaboration delivers benefits.

Are you getting the most out of your sales analytics solution?

To help our teams overcome these challenges and carry out award-winning data reporting, we need to get our data modelers to design beautiful master tables with extra care and attention.

Overcome language barriers. The Lore IO platform offers a single framework where business analysts, data modelers, and data engineers gather to collaborate simultaneously.

Lore IO takes on the mission of handling complex data transformations elegantly & at scale. Customers rely on our team of data transformation experts to handle their most demanding data requests.

Business users continuously require new data to make smarter decisions and take better actions. Luckily, there is a new way, a better way, of making new data happen.