MASTER YOUR DATA GUIDE - Use this guide to help map out, better understand, plan to improve, and make use of the various data types in your organisation
TELL US A LITTLE BIT ABOUT YOU BELOW TO GET IMMEDIATE ACCESS TO YOUR COMPLIMENTARY GUIDE
At The Data Lab, we clearly love data, and we get to focus on it across many dimensions. With that focus in mind, our TORCH team have developed a guide designed to help small businesses and start-ups consider the decisions they need to make when taking the next steps in their data journey.
Those decisions will be openly, or by implication, about the sourcing, management, and the use of their data, and the processes they should (ideally) have in place for doing so.
We do so from our data-centric perspective. This means that our take on things may well differ slightly from that of suppliers pitching or supplying services to you. Their perspective will center on the solution they offer; there’s nothing wrong with that, but it will inevitably focus less on the wider data needs and scenarios across your business.
With our Master Your Data Guide, we help you examine data right across your organisation. Simply complete the short form below to gain immediate access to your complimentary copy.
If you require this document in an alternative format please contact The Data Lab TORCH team, by email: email@example.com
Get the most out of the Master your Data Guide
As this support is not specific to any one industry sector, we’ve provided a range of scenarios (drawn from our experience), in which the guide might support you in your business:
Example 1 – DATA FOR MANUFACTURING
A manufacturing business is looking to upgrade their self-built inventory management system. It has been in place for 15 years and is creaking at the seams. They recognise that there are now multiple cloud-based inventory management systems available. They also recognise that there are other systems that do inventory management as part of a wider set of processes (e.g. stock control, manufacturing support, full ERP/ enterprise resource planning), and that self-built remains an option.
They use the guide to understand some of the solutions available in this space. They also use it to identify the core and related data that might be in scope for such a project. Finally, the playbook is used to flag any known data quality issues (and their source), and generally prepare them for the significant procurement exercise that such change will require.
Example 2 – DATA FOR TOURISM AND HOSPITALITY
A tourism/ hospitality business has an existing e-commerce platform in place for e-mail marketing, customer enquiries and bookings. However, they are limited on their ability to market, to analyse, report on trends, and forecast effectively.
The guide is used to identify which data types are currently in each of their IT systems (and what gaps exist). This in turn helps determine what data would be helpful to build or integrate into their e-commerce platform.
In this example, the business used the guide’s core data map to identify that they were missing the data linking customers to the products they had engaged with. This was able to be put in place via a small development project on the e-commerce platform.
Example 3 – DATA IN AI
A high tech Artificial Intelligence based start-up needs to make some early choices about the development and build-out of their technology and/or data platform. The ramifications of these choices will be with the business for many years.
They use the guide to help understand (and account for) the data needs of their target clients, and the types of solutions that might already be in place. They want to ensure that what they build is complementary or superior to those offerings, and/or helps close data gaps/make data improvements.
Example 4 – DATA IN CONSTRUCTION
A construction business wishes to upgrade their existing core business infrastructure (document management, communications, calendar, etc). They plan to advance from its existing installed software (and in-house server based approach) to a more modern cloud-based equivalent.
The guide helps them understand the cloud application and data management eco-system, providing immediate choices between a small number of providers. It also allows them to evaluate the downstream implications of each (in terms of what other systems their core infrastructure might need to integrate with).
Example 5 – DATA IN RETAIL AND WHOLESALE
A wholesale and retail business wishes to add a new CRM system and client portal, primarily to improve their customer service capabilities.
The guide helps them identify and understand the numerous types of data that they could integrate in order to support customer service processes. Armed with this knowledge, they can review CRM software as a service option with a specific focus on data integration capabilities.
Example 6 – DATA FOR QUALITY SOLUTION PROVIDERS
A data quality solution provider can use the guide to help explain how their tool-set addresses specific data quality issues within a range of data types.
GET IN TOUCH
To express your interest or to find out more, please contact us.