How to Build a Winning Analytics Team

Data analytics should be a priority for every advertiser, but building an effective and successful analytics team can be challenging. In this article, we share insights from Google’s marketing and analytics leaders, breaking down key principles that businesses can use to harness the power of a tech-savvy analytics team.

Digital transformation—the process of using digital

Technologies to modernize organizational performance , agility, and sustainability—is widely view by marketing leaders as the key to future-proofing country wise email marketing list businesses. To make the most of digital innovations, companies must be able to determine where to focus their efforts and understand which strategies work best. That’s why having a strong data analytics team that can communicate real-time data insights to the C-suite is crucial to driving meaningful digital transformation.

Companies that build a successful analytics team are more likely to increase revenue, profits, and market share. Yet, according to the Digital Maturity Benchmark , only 9% of organizations are effectively using data and technology to design better consumer experiences. Why?

Through its experience building world-leading analytics 15 top tips to promote your website for free teams and working with hundrs of companies, Google has identifi 3 core principles that can help companies overcome challenges and build successful analytics teams and strategies.

Prioritize talent over tools

When investing in your organization’s analytics, prioritize people over tools. Investing in people leads to a flexible analytics capability that can adapt to a changing business environment without locking the company into an unwieldy system of software and tools.
While many Fortune 500 companies have invest cmo email list heavily in analytics tools, most still struggle to make meaningful data-driven business decisions. This is largely because this investment strategy makes the mistake of thinking that tools, rather than people, are the solution to creating better analytics. Tools alone can only go so far without the right people behind them.
These misguid efforts l to the development of a 10/90 rule for web analytics success: invest 10% of your analytics budget in tools and the remaining 90% in people. For example, if you pay a web analytics vendor $25,000 for an annual contract, you should be prepar to invest another $225,000 in staff to get meaningful value from that data.

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