Data analytics are vital for a modern organisation. Clear information leads to clear decision making. Analytics doesn’t replace leaders and their instincts. But instinct isn’t an alternative to being informed. They go hand-in-hand.

thryve offers a variety of data analytics services, built on the top analytics platforms in the market. Our experienced business experts and officially certified technical professionals will take your desired outcome or business problem, and plan a course for analytics to deliver answers. We also consult on analytics and data strategies, and offer training to help capacitate and expand your internal analytics capability.

Analytics is a powerful and vital business tool, but it’s not only for technologists. Our solutions make it easy for business experts to apply their knowledge without leaning on IT resources. Through thryve’s business-first approach, we ensure you get the results you need without adding extra burdens to your IT professionals.

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Getting started with analytics: 3 steps

So how can companies start using analytics? They already possess data that will help them with this effort: sales data, customer feedback and operational metrics are examples of what information can be tapped to create new insights. To tap that potential, we propose three steps to take:

Step 1:

Know what you want to know

What is the purpose of your business and which factors inside it speak directly to its success? This is the question you should ask yourself before embarking on an analytics project. There is simply so much potential you can investigate in your data that it is crucial to start with a clear view of what you want to achieve. You might be looking for more insight, or you are hoping to tackle a specific issue.

Ask the straightforward questions: what factors impact your bottom line, and what do you know about those factors? Do you have data around those activities? There will be key performance indicators that speak to these questions – these are often where you want to focus your queries. It is helpful to consult with an analytics development partner to explore the best practices as well as the shortest routes to get answers with modern analytics.

Step 2:

Select analytics services suited to your needs

A primary reason why many analytics projects fail is that they take on a ‘technology will solve it’ attitude. I’m sure you’ve heard the saying “technology isn’t a silver bullet”, which applies to analytics as well. But analytics is even more confounding because it has many applications, inputs and outcomes. So every choice matters, including the analytics platform you want to use.

Each also has features that work well for a variety of use cases and business sectors. Selecting the right one can save you a lot of money and aggravation, so don’t just go for the first solution you encounter.
Scroll down further to see the leading analytics platforms – Salesforce Einstein Analytics, Tableau, and Microsoft PowerBI – that thryve uses and supports.

Step 3:

Scale as you require it

You don’t need to use only one analytics platform – and you can do this without creating more complexity in your organisation. A modern software platform can be deployed and integrated into a business environment without much fuss. It can start small and scale up or down as needed. Many of thryve’s successful projects start as minor proofs of concepts or trials, then quickly prove their value. Since such platforms often operate on OPEX and not CAPEX payments, you have full control with no long-term investment risks.

Hence you can use different analytics platforms, suited to different needs. Your salespeople can look at customer data using Salesforce Einstein Analytics, while the CFO and their team rely on Tableau to give them insights. Analytics platforms can connect to different data sources and pool that information for their own needs, without removing that data from its original home. You can apply analytics at a per-project level or focus it on specific departments – even people. Different dashboards and reporting templates can be set for different user profiles. If the analytics have run their course, you can just shut it down.

Analytics services supported by thryve

Salesforce Einstein Analytics

Einstein Analytics is fantastic for working with customer data.


Tableau is widely favoured in financial circles.


PowerBI is a good fit for any company with a Microsoft estate.