Do data better

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 tailored properly, according to  specific needs, with the correct set of technologies and methodologies.

 

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.

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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 provides a range of tools to handle the variety of data. It offers ease and speed in 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 a new technology. All of this, combined with security and cost effectiveness makes cloud data management ideal for the current times.

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We can help with services like – 

  •  Data architecting and designing for cloud
  •  Data migration to cloud
  •  ETL and data integration pipelines in cloud
  •  Data security and governance in cloud
  •  Data analytics on cloud

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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 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.

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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.

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We provide services related to Data Hub architecture –

  • Data Modelling & Design
  • Master Data Management
  • Data discovery and cataloging
  • Data security policies

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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 helps business to move forward in all critical areas, for example the ability to have a 360° understanding of the customer.

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Providing data visualisation tools to build dashboards, histograms, charts, etc., along with enabling BI (Business Intelligence) allows us to fully explore the data. This helps businesses better understand patterns, trends, outliers and changes over time, and create insights to gain competitive advantages.

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We can help with services like:

  • Architecturing and designing BI solutions (including roadmap)
  • Domain-specific analytic solution (e.g.: Customer forecasting, Financial reporting, etc.)
  • Monitoring and setup threshold alert notifications
  • Automating analysis reporting

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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 quickly drive towards your chosen business outcomes.

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 short list with potential solution options, and an outline action plan to test real business value.

Typical agenda

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)

Typical attendees

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.

Ask us about a custom workshop

Client stories

Partners

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.
Typical agenda 09:30 Introduction & Briefing 10:30 Understanding & Building Empathy with the User 11:30 Define Problem Area(s), Generate Ideas and Potential Solutions 13:00 Vegetarian Buffet Lunch (optional) Typical attendees From our side, we will involve data experts including Enterprise Analysts and Enterprise Architects whenever necessary. We will also involve any other relevant advisors or technologists relevant to your topic. Ask us about a custom workshop

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.

Learn more

Talk to our experts

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.

Learn more

Talk to our experts

We provide services related to Data Hub architecture –

  1. Data Modelling & Design
  2. Master Data Management
  3. Data discovery and cataloging
  4. Data security policies

Learn more

Talk to our experts

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