2015 Data Predictions Ten Years On, Where Are We Today?
Reflecting on the Predictions for Data Quality a Decade Later
In 2015, Martin Doyle, our CEO made some predictions about how data quality and technology would evolve in the coming years. Now, ten years on, let’s analyse how these predictions have stood the test of time.
- Knowing Your Customer – Better Than They Know Themselves
2015 Prediction:
“Google is keen to use customer data to provide more intelligent results. Rather than simply searching for answers, Google wants to tell us what we need before we actually need it.”
The prediction highlights the role of predictive technologies in creating a personalised experience and the need for high-quality data to make this possible.
2025 Reality:
This prediction was remarkably accurate. Today, personalisation is no longer a luxury—it’s a baseline expectation. Tools like AI-driven recommendation engines (e.g., those used by Netflix, Amazon, and Spotify) exemplify how businesses use high-quality data to understand customers deeply. However, challenges around data privacy and regulations, like GDPR, have added layers of complexity to the collection and use of customer data. Striking a balance between personalisation and privacy remains a key focus for organisations.
- Facing the Challenge – Quality Over Quantity
2015 Prediction:
While the volume of available data would skyrocket, the importance should remain on quality over quantity. Only clean, accurate, and actionable data could unlock the true potential of new technologies.
2025 Reality:
The importance of quality over quantity remains more critical than ever. While the volume of data continues to grow, the real value lies in ensuring that this data is clean, accurate, and actionable. Businesses that focus on maintaining high data quality can better use new technologies like AI and machine learning. However, without a sharp focus on data integrity, organisations risk being overwhelmed by sheer volume, making their data unusable. Today, those who prioritise quality are seeing more meaningful results and are better equipped to make informed decisions, streamline operations, and stay competitive.
- Maturing Social Media – Beyond Likes and Shares
2015 Prediction:
“Data gathered from social campaigns and interactions feeds back into the single customer view and provides a unique insight into content marketing trends.”
The blog highlighted that businesses would move beyond vanity metrics to focus on actionable, data-driven social media strategies.
2025 Reality:
Social media has matured into a cornerstone of business strategy, with platforms like TikTok, Instagram, and LinkedIn offering sophisticated analytics tools. Businesses now analyse engagement metrics, audience behaviour, and campaign ROI with precision. Yet, with the explosion of short-form video content, staying relevant requires constant adaptation. Accurate and clean social data is essential to maintain a competitive edge, as noisy or outdated data can derail even the best campaigns.
Lessons Learned and the Road Ahead
Looking back, it’s clear that many of the 2015 predictions came true, but the journey was not without challenges. The sheer volume of data generated today—combined with evolving technology, regulatory landscapes, and customer expectations—means that data quality remains an ongoing battle.
As we look to the next decade, the focus will likely shift further toward data ethics, AI governance, and automation to ensure not just quality but also responsible data use. The essence of the 2015 message remains relevant: quality data is not just an asset; it’s a necessity for businesses aiming to thrive in an increasingly connected and data-driven world.
What do you think? Are we prepared for the next chapter in the evolution of data? Let’s make sure we’re not playing catch-up in 2035.
To view the original predictions from 2015, click here.
