As part of Solutions Review’s Premium Content Series—a collection of contributed columns written by industry experts in maturing software categories—Lemuel Park, the co-founder and chief technology officer at BrightEdge, delves into the necessary crossovers between data science and technical SEO.
We live in a world of unprecedented data storage, collection, and analysis. But the incredible volume of data is nothing without a clear understanding of its insights. According to IDC, the data revolution is just beginning. A recent report shows that by 2025, the world’s population will generate 175 zettabytes of data—more than double the data produced this year.
With this significant increase in available data, modern businesses must prioritize adopting the appropriate tools to process complex information streams effectively. Business leaders should review their organization’s existing tech stack and focus on keeping and seeking out tools that turn data into insights. After all, what’s the point of collecting copious amounts of meaningless data?
Data can be a marketer’s biggest asset. However, marketers can easily make mistakes with data. Some common data mistakes include overlooking the impact of offline activity, focusing on the wrong KPIs, and not incorporating backend data.
Marketers need to reexamine how they use data in an ever-expanding consumer world—and SEO could be the key. The challenge is that voluminous data also translates to equally nuanced and complex SEO. But leading search marketers will view this challenge appropriately as an opportunity to re-think the correlation between SEO and data science and provide their team with an entirely new layer of data-based insights.
How Data Shapes Modern SEO Strategies
The pandemic accelerated digital transformation across all industries by about ten years. As a result, many businesses were left to play catch-up with their tech stacks and digital-first experiences.
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