Pivotl

Pivotl

Data Infrastructure and Analytics

Unlock the future with today's data.

About us

TURN DATA INTO YOUR MOST POWERFUL ADVANTAGE The next phase of the Digital Economy will be driven by data and will be even more challenging to master. It won't be enough just to have data; it’s worth as a business asset must be proved. In a world where the only certainty is uncertainty, commercial and public sector organisations need to use data to make better, more evidenced based decisions and position themselves to exploit new technologies - at scale. Our highly experienced cloud, data and technology experts will help you navigate this new territory with confidence. This bigger opportunity to turn data into real advantage for our clients is what tests our mettle and gets us excited. We forge long lasting, durable partnerships with our clients through changing times and across the entire data lifecycle. We become your data partner, advocate, critical friend and delivery engine. We think obsessively about how to increase your growth potential and resilience through improved decision making, increased automation and smart exploitation of emerging technologies. Our high-performance data teams bring their excellence in public cloud, modern engineering practice and secure data ops to help you achieve your business goals. Our data services include: Foundations - Strategy, Governance, Discovery, Literacy, Security, Ethics & Architecture Data Engineering - Sources, Ingestion, Pipelines, Transformation & Storage Data Analytics - Collaboration, Reporting, Visualisation, Modelling, Business Intelligence Artificial Intelligence - Data Science, Production AI/ML, Platforms, Applications, Automations Managed Services - Data Managed Service, Cloud Managed Service Our Credentials: ISO 27001, Cyber Essentials, Armed Forces Convenant

Website
www.bepivotl.com
Industry
Data Infrastructure and Analytics
Company size
2-10 employees
Headquarters
London
Type
Privately Held
Founded
2022
Specialties
Data Strategy, Data Advice, Data Engineering, Cloud Engineering, Data Analytics, Data Insights, Data Science, AI, Artificial Intelligence, Azure, AWS, GCP, Data Visualisation, Low Code No Code, Machine Learning, DevOps, Data Architecture, Data Governance, and Data Management

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