Having a hard time creating a Marketing Audit Report? Upgrade your marketing reporting skills with our comprehensive step-by-step guide.

To IT leaders, it’s obvious that data strategy deserves a special place at the table for any discussion about strategic business initiatives. However, for CMOs and CROs like myself, who must justify and weigh expenditures against bottom line impact, investing in customer data typically looks like a red-ink proposition.

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.

Companies move as fast as their slowest insight. In the era of big data, information is often produced faster than it can be consolidated and analyzed throughout the Enterprise. Analysts battle for the limited engineering resources, so they can construct data sets for their analytics endeavors to ultimately provide insights to fast-growing enterprises.

The Top 5 Takeaways: Maybe your primary focus is online retail. Maybe you just have a small digital store selling merchandise relating to your main business concerns. Whatever the size of your e-commerce venture, integrating your systems and data is vital. You’re probably already dealing with a number of different platforms and SaaS providers, integrating with their APIs and their services to help run your business more smoothly.

How to improve ROI on social media ads as regulations and technology change.

Data warehouse reporting allows you to transform large amounts of data into valuable business insights from multiple sources. Here’s how.

Tell us if this analytics scenario sounds familiar: your organization employs an analyst team that uses old technology, desktop data visualization tools, or homegrown reporting systems to manually build out static dashboards and multiple weekly or monthly reports. As a result, the data analysts have to manually generate and update business reports regularly, and teams cannot keep up. In turn, the rest of the organization is unable to make timely business decisions.