Data Analytics and Technologies

Our Data Analytics Pipeline can extract meaningful insights from your data and information sources.

New data streams, exponential increases in data volumes and the accessibility of Cloud computing are forcing organisations to ask questions of themselves; How can we realise the potential of our Data assets? How can we unlock the value of our newly acquired and legacy data? How can we analyse data we don’t know we have?

We combine the latest Data Science, technologies and techniques with our in-depth E&P lifecycle experience to deliver tangible results. We work with you to deliver cost efficiencies and competitive advantage by unlocking your data, context and value from your unstructured and structured data and information.

Transformation and consolidation of data can be difficult when faced with legacy and inherited datasets. Our tools, technologies and domain expertise enable unparalleled stakeholder collaboration, ensuring user-driven data decisions.

Mergers, acquisitions and data rooms represent a serious resource challenge. Our technology-led approach tackles large data sets in a short time frame to discover what you have and where the gaps are. We will identify the business-critical documents quickly, attaching meaningful metadata to enable effective user-based searches.

Traditional manual processes soak up valuable time, waste expensive resources and create data bottlenecks within your E&P workflows. Our team is on-hand to design and implement lean automated solutions to reduce costs and deliver the right results sooner.

Legacy data is incredibly valuable but often neither visible nor accessible to the end user. The latest Data Science techniques rely on machine-readable inputs. Our content and data extraction workflows combine bespoke technologies, robust APIs and domain knowledge to unlock your legacy data assets and provide context for more informed decision making.

We use pragmatic technologies to get things done so informed decisions can be made quickly on the best available data. Applying business analysis, domain knowledge and Data Science techniques to produce operational analytics, delivered through a smart dashboard.

Organisations can acquire and manage several information silos, with varying levels of structure, governance and traceability. There is no easy way to identify, access and compare your data sets between silos, and, ultimately, time is wasted recreating or reacquiring expensive data.