analytics as a service
components
We remove all of the typical barriers faced when people start looking to their data to deliver more impact.
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5

The execution of impactful analytics is underpinned by great technology, which we split into two elements:

Infrastructure

This refers to where we host both your data and the software that will ultimately provide the insights.

The key considerations here are:

What is AaaS?
You’re looking for infrastructure that can enable value quickly but is built in a way that supports your plans for growth without huge increments in both cost and effort when it comes to scaling up your analytics.

Although we are technology agnostics here at Datore, we tend to use either Amazon Web Services or Microsoft Azure based on customer preference & best fit for the outcomes they are looking to achieve. 

Software

This refers to the advanced analytics platform that we choose to deploy for a particular project (and any extra tech we need to really make it sing). We make sure that the platform we choose has the functionality to deliver everything we’ve uncovered during ourimpact workshops with a client.

Whether that’s:

better access to data yellow and red2
Different platforms have different strengths. Is this what you need now and what you’ll need in 5 years? Is this the right level of complexity to engage all skill levels within your business? Is this a platform you’re comfortable with?

The value of an analytics platform is directly proportional to the adoption within the business – if you don’t use it, it’s not valuable, and that’s our key driver here. 

intelligence
On-Demand Data Team

The journey from data to insights is complex. It takes multiple people with a wide range of skills to deliver insights that have a true business impact.

The challenge is that these data geniuses are in demand, hard to find, expensive to employ, and even harder to keep hold of.

This leads to many organisations having to skip key parts of the process and ultimately losing the majority of the value available. 

That’s why we have done the hard work for you! We’ve amassed a team of data superstars so that you don’t have to.

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on demand data team

Whether it’s:

– we have you covered every step of the way. 

The clever part? You get on-demand access to them when you need them, and when you don’t, they drop out of the process. This allows us to provide an enterprise analytics experience for a fraction of the price. 

Artificial Intelligence

Our AI/ML-focused analytical platforms leverage advanced algorithms to crunch vast amounts of data, enabling more accurate predictions and actionable insights.

Easily integrate AI into your users’ workflows, from predictive analytics to prescriptive recommendations to conversational analytics. 

Some of the AI features provided by our platforms:

ai and ml

By automating repetitive tasks and identifying patterns that might elude human analysts, AI enhances the speed and accuracy of data-driven decision-making.

7

Often overlooked is a methodology that is going to guarantee that your investments in both people and technology will pay you back

Analytical Impact Methodology

Analytical Impact Methodology (AIM) has been developed off the back of hundreds of successful analytics projects. This methodology enables us to access value quickly whilst building a strategic data plan that will continue to deliver impact exponentially over time.

AIM puts an emphasis on asking the hard questions at the very beginning of our engagement to:

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Key to the success of our ‘as a Service’ subscription model is loyal customers, and the key to loyal customers is delivering undisputable impact. That’s what the AIM is all about. 

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