The Warehouse

Covid-19 had significant impact in the advancement of digital transformation. We witnessed the need for companies to be more agile and transform their traditional operating model. Post-pandemic these companies still feel a new set of pressure on the business to continue to innovate, develop a new customer experience, and improve operational efficiency while maintaining an acceptable level of output. Now more than ever, CIOs and Leadership need to collaborate and look to the unique advantages of cloud, data, and analytics as they build their digital efficiencies and IT roadmaps.

How did the Pandemic impact the manufacturing industry?

The COVID-19 pandemic has had a major impact on the manufac...

Pandata Group has always embraced and promoted the effectiveness of a robust data model as a means of “mapping” the enterprise data landscape (see our blog post here). Today this is more important than ever in the increasingly expanding cloud-native data analytics universe. A good data model provides not only a guideline for data engineers, but also a means of codifying and standardizing data usage from a governance perspective. Seamless integration of a data modeling tool into a cloud-native data management platform increases efficiency, collaboration and transparency. This is why we are so excited to be named a Gold Partner with SqlDBM, the leading cloud-based modeling solution...

In a previous blog post, we discussed the how an organization can foster a modern data culture that is focused, fast, flexible and fun. But building the bridge to engender that culture is easier said than done. Resistance to change is commonplace among organizations both large and small. According to a recent Gartner survey, only 20% of analytics insights will deliver business outcomes. This is not necessarily due to technical shortcomings, but rather cultural ones: lack of data literacy, siloed data processes and workflows, inadequate training, and most often, fundamental communication gaps. All of these barriers can be addressed through a systematic approach to modern data culture impl...

We have all heard the notion that data should be viewed as an asset, the “new oil”, a crucial business resource for the enterprise. When viewed in this context, a business’s investment in data must be assessed by the quality of its return. Measuring this return is more than just “how many cool-looking dashboards” you can now create; rather, a CTO/CDO must look beyond the technical capabilities and determine if data is having a true impact on the business culture. This means evolving a BI and Data Science community that engages employees at all levels of the organization. The path to this positive return is creating a modern data culture that permeates the enter...