Home > Resources > Whitepapers > Proact whitepaper on Big Data

Proact whitepaper on Big Data

Big Data is not a definite term. Even if it sounds like just another buzz word, it manifests some interesting opportunities for organisations with the skill, resources and need to analyse humungous amounts of data. The challenge is twofold: (1) collect and access the data and (2) analyse the data. Technically, this means: It is not enough to store data and then manage it – storage, management and availability of data is one unified challenge.

Spotlight

Pointillist

At Pointillist, we have a single obsession: enable marketers and CX teams to deliver the experiences necessary to attract and keep today’s connected customers. Pointillist’s customer journey analytics platform reveals the critical paths customers take as they engage across channels and over time, and predicts what they will do next.

OTHER WHITEPAPERS

Creating A New Governance Era with A Data Operating System

whitePaper | October 27, 2022

Data governance is on everyone’s mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of “ghosts,” or implicit knowledge existing within any organization that never makes it to documentation. Ghosts affect companies in both data and people spheres, making it challenging to modernize legacy architectures or bring new talent on board. Even more, it makes using data a challenge.

Architecting for HIPAA Security and Compliance on Amazon Web Services

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

Self-Service Data Intelligence

whitePaper | September 20, 2022

Self-service is without question no longer an option for successful businesses. Find out how Alation can accelerate data-driven decisions with our Self-Service Data Intelligence white paper.

The Power of Graph Data Science: Maximizing the Value Of Data Through Predictive Insights

whitePaper | September 28, 2022

Graph data science (GDS) is a scientific approach to gain knowledge from graphs, using the structures of connected data to power predictions, answer questions, and explain outcomes.

Application-Driven Analytics

whitePaper | September 28, 2022

By building smarter apps and increasing the speed of business insight, application-driven analytics gives you the opportunity to out-innovate your competitors and improve efficiency. However, it does require a shift in the way we think about and deliver analytics.

Proact whitepaper on Big Data