The Rise of Data Capital

whitePaper | September 21, 2022

Global macroeconomic conditions indicate the rising probability of a recession. Despite the resulting cost pressures, enterprise demand for D&A services is rising as enterprises realize that datadriven solutions focused on cost optimization and building competitive advantage are critical to tackle and survive the slowdown. In this regard, service providers can help enterprises in their digital transformation journey by formulating a vision for D&A, modernizing the D&A landscape, and providing the right talent and niche skill sets to achieve direct business outcomes.

whitePaper | December 29, 2022

Imagine that you are starting a family and you want to stay on top of your finances so you can manage your budget for your growing family. Because you have too many accounts for banking, loans, subscriptions, and bills to keep track of, you decide to sign up for a service that aggregates all your accounts in one place. When you register your account online, you follow the instructions carefully. You create a strong, unique password and set up multifactor authentication. You enter your bank account and loan information, home address, and other personal information. Your spouse also signs up, and you create a joint family account that combines your information.

whitePaper | September 1, 2022

Lock-in occurs when the cost or effort of moving away from a particular choice (platform, vendor) outweighs the benefit of doing so, even if that choice is good for the business overall. The pain of moving is simply too great to consider doing it.

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

whitePaper | January 20, 2023

Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.