Do data better
Every organisation pursues creating the best platform for their data, one that is secured, compliant and serves all of their business needs precisely on time. Building such a platform requires insights into the ‘what’, ‘why’ and ‘how’ of data. Data has to be appropriately tailored, according to specific needs, with the correct set of technologies and methodologies.
The data experts at Onepoint are well versed with the ‘what’, ‘why’ and ‘how’ of data. This ensures the demands are met by the architecture, design and implementation of a data platform. Our experience helps to solve questions related to on-prem or cloud; data strategy or governance; data engineering or analysis, delivering the best possible outcomes. Doing data better.
State-of-the-art technologies are used for the purpose. Our expertise span over a wide range of technologies, some of them being Talend, Dell Boomi, Spark, Azure Warehouses & Tools, AWS Tools and so on.
Cloud data management
With the increasing pace of technology, there is a rise in producers and consumers of digital data. An enterprise has to continually adjust to the volume, variety and changing needs of the data being produced and consumed, which in turn demands a quick, easy, scalable and cost-effective way of managing data, to enable focus on driving business.
Cloud technologies can help enterprises to create auto-managed and auto-scalable platforms. A cloud data platform provides elasticity by adjusting resources when the volume of data increases. It offers a range of tools to handle a variety of data. It provides ease and speed in the deployment of data processes by eliminating the redundant tasks of setting up or managing infrastructure and services. It also lessens the time taken to adopt new technology. All of this, combined with security and cost-effectiveness makes cloud data management ideal for the current times.
The diversification of enterprise applications has led to data collection and processing across teams and geographies. Consumers of data have also evolved from just being IT experts to special data analysts and business users. These factors tend to create data silos and inconsistencies and hence the need for introducing some rules around data management. Data privacy regulations like GDPR further add to the need of applying proper strategies and governance around the lifecycle of enterprise data.
Data Hub architecture is the answer to modern data requirements – eliminating redundancy of data through sharing and integration points for operational and analytical data, generated by various applications. It can drive standard models and consistent governance across systems and processes, thereby increasing the transparency of data flows amongst multiple users and roles of an enterprise. It can also help in areas like data quality, deduplication, and security.
Data strategy & governance
Analytics & insights
Having access to a rapidly growing amount of data counts for nothing unless you can quickly interpret the data in a meaningful and efficient way, and extract valuable insights that help a business to move forward in all critical areas, for example, the ability to have a 360o understanding of the customer.
Providing data visualisation tools to build dashboards, histograms, charts, etc., along with enabling BI (Business Intelligence) allows us to explore the data fully. This helps businesses better understand patterns, trends, outliers and changes over time, and create insights to gain competitive advantages.
We can help with services like:
- Architecture and designing BI solutions (including roadmap)
- Domain-specific analytic solutions (e.g., Customer forecasting, Financial reporting, etc.)
- Monitoring and setup threshold alert notifications
- Automating analysis reporting
Start your journey with a Onepoint Springboard™ Data workshop
Explore your data challenges — and opportunities — with our senior advisors and technologists during a half-day structured workshop held at our offices in London, or virtually.
These workshops are a simplification of our Design Thinking (and Doing!) approach, part of our Rapid Value Method that is designed to drive towards your chosen business outcomes quickly.
With a multi-disciplinary team from your organisation, we uncover your data challenges and opportunities, explore ideas and priorities, and outline how to prove a chosen concept quickly. If it makes sense as a next step, a rapid prototype (PoC) can potentially be co-funded by Onepoint.
There’s no obligation to continue the journey with us after the workshop. A fresh, independent perspective on innovative options, approaches, and recommendations are yours to keep!
Outcomes & outputs
The key outcomes are to develop a better understanding of your data challenges and opportunities and to establish a shortlist of prioritised ideas. You will also understand where Onepoint can add value to quickly get you to your desired business outcomes.
Outputs of the workshop will be a number of big ideas or use cases; a prioritised shortlist with potential solution options, and an outline action plan to test real business value.
09:30 Introduction & briefing (includes ice breaker and basics of Design Thinking)
10:30 Understanding & building empathy with the user
11:30 Define problem area(s), generate ideas, priorities, and solution options
13:00 Vegetarian buffet lunch (for visitors in our London office)
These workshops work best with multi-disciplinary participants. Our clients typically involve representation from many corners of the business, including strategy, customer care, marketing, sales, operations, IT, data, and finance.
From our side, we typically involve business, data, and technology experts. We will also involve any relevant advisors or technologists relevant to your topic. We can discuss attendees and customise the workshop to your requirements during a preparatory call.
These free workshops are a simplification of the Design Thinking (and Doing!) approach to identify end user or customer challenges (use cases) faced by our clients. For more information on Design Thinking at Onepoint click here.In the half day workshop we cover the data challenging use cases, the collaborative ideation of a possible solution, and potentially plan how to build a quick prototype (PoC) which can be free or co-funded by Onepoint. In order to get maximum value from the workshop a call will be required with the client to prepare and plan, including gathering all necessary materials. Outcomes & outputs The key outcome is to develop a better understanding of the data challenges, and where Onepoint can add value. Outputs of the workshop will be a number of identified challenge areas use cases, with potential solutions, and an action plan for the next stage to be prototyped to test the real business value.
Data strategy & governance
The diversification of enterprise applications have led to data collection and processing across teams and geographies. Consumers of data have also evolved from just being IT experts to special data analysts and business users. These factors tend to create data silos and inconsistencies and hence the need for introducing some kind of rules around data management. Data privacy regulations like GDPR further add to the need of applying proper strategies and governance around the lifecycle of enterprise data.
Data Hub architecture is the answer to modern data requirements – eliminating redundancy of data through sharing and integration points for operational and analytical data, generated by various applications. It can drive common models and consistent governance across systems and processes, thereby increasing the transparency of data flows amongst various users and roles of an enterprise. It can also help in areas like data quality, deduplication, and security.