Innovation
Businesses must continue to innovate in order to remain competitive in 2023 and beyond
Innovate with confidence by taking control of your data and technology
With the best-of-breed talent, we support our clients in managing their complex data landscape, discover new opportunities, understand insights better and innovate confidently.
Innovation
Businesses must continue to innovate in order to remain competitive in 2023 and beyond
Data Volume
Increasing volume of data is forcing them to take their data and analytics strategy into hyperdrive.
High-quality, accurate data is fundamental to extracting real-time insights. Anything less sets your enterprise up for disappointment, and potentially even adverse business outcomes.
Democratised data allows everyone in your business to access whether they’re a data specialist or not! Custom-built or third-party - there are many ways to break down data silos.
Businesses that have readily accessible information and reliable data quality can deliver solutions more quickly and with greater accuracy.
We support our clients in mastering the data landscape and will support you with your tailored data strategy that’s tightly linked to your business objectives.
A data product is a software application or service that solves a specific business problem by providing actionable insights even when there may be none readily apparent.
Enquire nowGetting actionable insight from data is a top priority for many financial services organisations. This might be in order to react quickly to customer demand, improve the user experience, drive revenue or change the go-to-market.
Enquire nowA data mesh framework is a product approach applied to data challenges. We use best-of-breed software engineering methods to develop a distributed data infrastructure to balance out shortcomings in highly centralised architectures.
Enquire nowSimply put, this is the interface layer for your business users. When considering this component, it’s good to evaluate various specialized technology tools that can help you build dashboards that make it easy for your business users to perform analytics modeling, obtain reports, and complete other self-service tasks.
Enquire nowIt's crucial to build robust data systems that are reliable, scalable and can evolve as the business needs change. This is an area where many solutions fall down leading to fragile systems that are expensive to maintain and change.
Enquire nowLayered on top of your data architecture will be various tools and technologies for analysing data and deriving data-driven insights. With data lakes typically containing billions of data points, it’s humanly impossible to fully mine, analyse, and understand all of the available data. Fortunately, applying AI-based analytics solutions can turn overwhelming quantities of raw data into usable insights.
Enquire nowWe support you in creating a blueprint of a data environment that aligns with your short- and long-term goals as well as your cultural and contextual requirements. From data lakes to meshes to warehouses to visualisation tools and fabrics - we support you in creating a holistic, all-encompassing data architecture.
Enquire nowThe common belief that problems with data quality usually stem from technology issues is mistaken. The majority actually is human error based, such as creating multiple different versions of the same data. Robust data governance is essential in improving data quality. Our data governance approach also includes GDPR compliance.
Enquire nowIn a highly regulated and complex environment, organisations need to be focused on the data they have; manage and protect it appropriately; recognise the value it presents as an asset; and be able to generate real benefit from it, safely and without breaching the trust of their customers, users and employees.
Enquire now
Jon Cooke
Expert Advisor or Consulting Partner
Sunny Jaisinghani
Principal Data Consultant
Dave Sheppard
Data Strategy Specialist
Discover esynergy’s expert insights on emerging tech trends, digital transformation, and industry best practices in the data analytics space.
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