North Amsterdam Data Center Campus

whitePaper | November 10, 2022

In this hyper-competitive era, faster time-to-market plays a vital role in the success of an organization. Any lag accounts for the 'Cost of delay,' impacting the value a product could create otherwise. This is the primary reason teams are adopting an agile approach to software development, testing, and release. Unfortunately, teams that don't follow suit find it challenging to deal with this accelerated timeframe.

whitePaper | August 22, 2022

The Ugly Truth About Data Management and the Journey to Unleashing the Economic Value of Data explores the often overlooked truth about managing data in the digital era and the shifts in perspective and practice required to unleash the true, economic value of data.

whitePaper | September 23, 2022

The COVID-19 pandemic times will go down in the annals of history as the ones which saw organizations face significant disruption in the way they executed their frontend business and backend operations. The pandemic waves have made organizations do the unthinkable – allowing their workforce to either operate exclusively from their homes, or at a minimum, distribute their working hours between home and office.

whitePaper | March 3, 2023

In today’s world, data is king and has become a major source of competitive differentiation for businesses across all industries. The COVID-19 pandemic has further accelerated the use and importance of data as the world’s governments and businesses adapted.

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.