In 2023, trust in data must be a priority for companies

In 2023, trust in data must be a priority for companies

The amount of data generated worldwide is expected to exceed 180 zettabytes by 2025.

It is therefore not surprising that, according to a recent study by 451 Research, nearly 79% of companies say that this data will play a key role in their strategic choices over the next 12 months. As 2023 dawns, it’s clear that more and more companies are looking to better leverage these growing datasets, if only to empower their decision-making.

But to achieve this, it is imperative to benefit from data of indisputable reliability. If companies want to inform their decisions with accurate, precise and contextualized information, it is imperative that they have a data integrity strategy for 2023. Three trends will stand out in 2023 when it comes to decisions based on the data.

Increasingly Sophisticated Data Initiatives Will Lead to Growing Data Quality Challenges

One of the lasting effects of the pandemic is an increased demand for self-service models that allow more users to leverage data at all levels of a business. However, these models do not facilitate the identification of data quality problems. If we
Add to this the widespread adoption of cloudsthe proliferation of use cases and the need to modernize environments to support advanced statistical analysis, it is clear that data quality is now a crucial issue.

In 2023, as data initiatives grow in sophistication, it will become increasingly complex to ensure the quality of data, knowing that it will also be necessary to ensure their accessibility. Businesses will need to adapt to the needs of these new use cases by
adjusting their quality control practices in this area.

Data observability will enable more proactive management

Knowing that data quality challenges will become increasingly complex, organizations will need to take a more proactive and agile approach to ensuring that data is reliable. Thus, many companies already integrate observability into their risk management strategy.
data. They can thus identify problems likely to affect the integrity of the data collected and take measures upstream to avoid arriving at ill-informed decision-making.

For optimal results, it seems important to us to consider data observability solutions using advanced technology exploiting the machine learning. Such tools identify trends in the data and alert the relevant managers in the event of an anomaly. This leads to improved pipeline quality, more effective decision-making, and naturally, boosting business results.

The role of data governance will continue to evolve

While data governance was once limited to regulatory compliance or policy management, its role has evolved in recent years. Many companies recognize that it now has a much broader impact on their business. Our research found that two-thirds (66%) of companies rate improved data quality as one of the top benefits of data governance programs, followed closely by better analytics and insights (56% %), easier collaboration (52%) and faster access to relevant data (50%).

An enterprise-wide approach fosters a collaborative data-driven culture and better understanding of data. Therefore, in 2023, companies will continue to increase their investments in data governance programs
optimized for their business priorities. They will be able to make more informed decisions, increase their turnover and accelerate their growth thanks to better visibility, empowerment of their teams and better use of their data.

In 2023, more companies than ever will strive to harness the value of their data to inform strategic decisions. Access to reliable data will be essential to ensure their agility and their ability to stay ahead of their competition in rapidly changing markets. A data integrity strategy will be essential to their survival, but also to their success in this new era full of uncertainties.