Our Services

There is a lot of hype around at the moment regarding machine learning and artificial intelligence. While it is certainly not a one-sized solution for every challenge you have encountered in your data, it can be used for a number of specific cases, with incredible results.

Machine learning is tremendously useful if you want to predict some future event or categorise certain historical datapoints you might have.
Benefits of machine learning

• Predicting future purchasing behaviour from customers
• Fraud detection based on POS activity
• Sentiment analysis of social media comments
• Price elasticity and promotional period suggestions

The area of customer data is growing daily. Businesses and organisations using it ethically and efficiently are reaping the results very quickly. When it comes to CRM and customer analytics, it is all about understanding the conversation your business is having with the end customer, and how you can build on that relationship using your and their data.

The days of mass marketing emails without any personalisation are long gone and will now most likely only earn you an opt-out. Understanding a customer’s shopping, purchasing and browsing behaviour allows you to have a meaningful data dialogue with them and keep them loyal to your brand.
Getting the “single view” of the customer and their journey is what DW Data is able to uncover for you.

Many retailers try and manage their budgets and forecasts in a variety of unconnected and unmaintained islands of data – spreadsheets. Bringing this data into your core reporting is often difficult, fragmented and relies heavily on business users’ maintenance of the spreadsheets.

DW Data can offer easy-to-use, centralised data entry solutions. From basic budgeting and forecasting to leading retail planning solutions like Buyers Toolbox from ANT USA, we have a comprehensive range of planning and forecasting solutions to suit your individual business needs.

Are you shutting down your internal server room and moving to the Cloud?

There are a variety of factors to consider, from initial importing of the data, switching off unused and redundant internal processes, creating new integration routines and managing cost.

DW Data can assist with the entire cycle. From planning to roll out into the cloud, DW Data can guide you through the entire transition with streamlined processes and unrivalled expertise.

How do you maintain additional data that you either do not currently capture in your ERP / POS systems or that has always been maintained in some other place?

In every organisation it is critical to manage Master Data properly. Master Data provides you with an audit of how the data changed, who and what changed it and why.

This service is all about centralising data capture and quality, and surfacing this data in your reporting.

Simple examples of this are store opening dates, store refurbishing dates, currency exchange rates, email blacklists, budget and forecast data, product images, product web friendly descriptions and store GPS positions.

Developing internal dashboards is a route often followed, but one that more often than not fails to deliver an end result that enjoys a long lifespan.

The purpose of a dashboard is to address key questions that consumers of the dashboard need to have answered quickly, which will allow them to make the right decisions, faster.

It is not about showcasing the strengths of an IT department or the improved features of newly acquired technology.
It is about the distillation of a question into its core component and building the segment of the dashboard that extracts the refinement of the data.

Creating dashboards is easy from a technology perspective, creating dashboards that people become reliant on daily is more challenging and we measure our success of the dashboards based on the consumption of them.

What is the plan for your data assets? What technology decisions should you be making in the next 12 months? Should you be paying attention to the hype around “Big Data”, cloud computing and in memory analytics?

These are some of the key questions retail businesses are facing in the modern commerce climate. C-Level executives often do not have enough context or technical background to make the right decisions on these matters. That’s where DW Data comes in.

We provide short term engagements wherein we can undertake an internal evaluation of your data and reporting eco-system and provide a roadmap with real milestones for your future plans.

A Data Warehouse is not merely a “warehouse” wherein historical data is stored. A Data Warehouse is a structured environment to store historical data, combine data from multiple sources and enforce the integrity of information with purpose. This is the platform from where data is reported and consumed, prescribing your capacity to make informed, strategic decisions.

Reporting directly off your POS / ERP systems often fails to depict the entire picture. It also presents obstacles for customising the data to address your unique way of working.

We will implement the best type of Data Warehouse suited to your individual overall requirements and it will be one of the three industry standard models:

• Kimball (Dimensional) model
• Inmon
• DataVault