The marketing approach to customer service has evolved enormously over the past decade and data has been responsible for most of the giant leap forward. Customer data platforms and CRM (customer relationship management) systems have helped businesses take a data driven approach to attracting and retaining customers. But challenges to delivering great customer service remain.
Data analytics is not always something you would associate with creating a marketing strategy. The hard evidence of data somehow clashes with the idea of marketing creativity. But, if you’re not using data to underpin your marketing, you might want to think again.
Understanding your customer’s needs and how they want to communicate with you is key to a successful marketing campaign. But, with huge volumes of data from multiple sources flooding your organisation every day, making sense of it can be a challenge. This is where Modern Data Warehouses (MDW) can help in marketing.
If you’re not already using marketing automation of some sort, you should be. And here’s why. As customers in 2021, we expect brands to deliver seamless customer experiences across the different channels we use.
If you’re a busy marketing manager, then you probably know first-hand how producing monthly stakeholder reports can become a huge drain on your time.
As Apteco’s longest-standing partner and proud ‘partner of the year’, we know a thing or two about successful FastStats implementations. And, unlike many other software implementations, it doesn’t require as many skills and resources as you might think. Here are our top tips for a hassle-free adoption.
Is all your CRM data sitting in MS Dynamics? It could be costing you Do you know where your customer data is stored? In all likelihood, it’s probably in your Dynamics 365 CRM platform because that’s the way it was…
We’re delighted to announce that we have been awarded gold competency status for our expertise in data analytics by Microsoft Azure. Over the past year, the Euler analytics team has been working hard to achieve this status. And it means…
Poor quality data can affect many different areas of your business. Efficiency can be stifled, reporting inaccurate, customer relationships compromised, and decisions made based on that data become the wrong decision. Yet, on average, organisations believe 32% of their data is inaccurate. This whitepaper explores how data distrust can affect different areas of your business and what you can do to fix this.
In this whitepaper Rob Jones explains exactly why analysing your data landscape prior to starting your project is so important. Download to find out what steps to take in order to analyse your data landscape in readiness for your data project.