#67 - Data Integration Strategy: What Marketers Need to Know

06/16/21 • 23 min

Modern marketers are expected to be omnichannel, data-driven masterminds, generating, analysing and acting on customer data in an accurate, timely and personalised manner.

Living up to this expectation can be hard when you are struggling to connect data across multiple disconnected channels and marketing tools. The issue of businesses working with disparate information is referred to as data silos, something which 47% of customer experience executives state is hurting their digital CX initiatives.

In this podcast, we will provide you with the fundamental knowledge you need to solve data silos within your marketing department: data integration.

What is data integration?

Data integration is the process of taking data from multiple, disparate sources and connecting it to achieve a single, unified view. The process is particularly significant to those working within a marketing discipline who are attempting to communicate with their customers via many channels and struggle to gain a complete picture of their customer journeys.

By listening to this podcast, you can expect to learn why data-driven, omnichannel marketing is the new industry standard and why marketers need data integration to achieve this standard. You will also discover how data integration can save your business time, increase efficiency and drastically improve your ability to gain and act on business intelligence.

We will also delve into one of the most effective types of data integration for the marketing industry, application integration, and provide a real example of how this technique can improve your marketing campaigns by allowing your marketing tools to work better together.

Finally, you will discover some of the best practices for data integration success:

Planning
Method Evaluation
Organisational Readiness
Data Governance

Download ‘Data Integration Strategy: What Marketers Need to Know’ today and find out why over 80% of enterprise business operations leaders say data integration is critical to ongoing operations.

Modern marketers are expected to be omnichannel, data-driven masterminds, generating, analysing and acting on customer data in an accurate, timely and personalised manner.

In this podcast, we will provide you with the fundamental knowledge you need to solve data silos within your marketing department: data integration.

What is data integration?

Finally, you will discover some of the best practices for data integration success:

Planning
Method Evaluation
Organisational Readiness
Data Governance

Previous Episode

#66 - How to Build the Perfect Shopping Cart Abandonment Campaign

In this episode of The Marketing Slice, we discuss how to build the perfect shopping cart abandonment campaign.

Online shopping has been growing year-on-year for the past decade. We now spend more time online than ever before. Electronic devices are such a normalised, almost essential, part of our lives now that many of us are actually more comfortable shopping digitally.
Whilst it’s been proven that online shopping continues to grow, not all shoppers complete their purchases. Some buyers add numerous items to their digital bags and then simply leave, without so much as a goodbye. That’s the phenomenon that we call shopping cart abandonment.
What is shopping cart abandonment?

Shopping cart abandonment is when a website visitor, i.e. a potential customer, adds items to their shopping cart, begins the check-out process and leaves without actually making a purchase. Cart abandonment is one of the key issues fought by digital e-commerce marketers today and is one of the biggest contributors to lost sales in the e-commerce industry.
In this podcast, we discuss 5 of the main reasons why shoppers abandon their carts, teach you 7 ways to combat shopping cart abandonment and offer 3 things you need to action right now to improve customer experience.
You can read this episode in full, along with helpful graphics and other great resources over on our website.
If you’re struggling to manage all your data and become an omnichannel brand, why not book a demo of Hurree’s data unification and segmentation platform here or email any of your questions to me at [email protected]. It’s time to get your tools talking and we can help you do it!

Next Episode

#68 - The Ethics of Big Data

Hello and welcome to the marketing slice by Hurree, the show where the team at Hurree give you marketing insights, hints, and tips that will help you improve your results right now. I’m Dominique Daly and in this podcast, we will discuss The Ethics of Big Data.
We also have associated guides, videos, blogs, and infographics that can all be found at www.hurree.co. So here we go...
What is big data ethics?

Much research has gone into the field of big data ethics in the past decade as academics and business leaders alike attempt to grapple with public push-back on the use of big data.
The field of big data ethics itself is defined as outlining, defending and recommending concepts of right and wrong practice when it comes to the use of data, with particular emphasis on personal data. Big data ethics aims to create an ethical and moral code of conduct for data use.
There are five main areas of concern in big data ethics that outline the potential for immoral use of data:
1. Informed Consent
2. Privacy
3. Ownership
4. Algorithm Bias & Objectivity
5. Big Data Divide
If you liked this podcast then you can subscribe for free via any podcast app or on Spotify. Feel free to share with a friend if you think they might enjoy it! And don’t forget, you can find other resources like guides, videos, blogs and infographics over on our website at www.hurree.co. Thanks for listening!