Enabling Data Ops: The Emerging Practice of Quickly Activating Data for Insights and Intelligence at Scale

Unlock Insights at Scale with Enabling Data Ops. Discover the Emerging Practice of Quickly Activating Data for Business Success.


In the dynamic landscape of data management, staying ahead of emerging trends is crucial for professionals seeking to harness the power of data for business success. Earlier this year, during the Infogix ICON 2020 conference, Forrester analyst Gene Laganza shed light on some of these transformative trends that are shaping the future of data management. Now, we are thrilled to announce that the complete presentation is available on demand for a limited time, allowing you to delve into the realm of possibilities that these trends bring to the table.

Gene’s insightful presentation touches on several key areas that are driving the evolution of data management:

1. Advanced-Insight Driven Business at the C-Level

In the world of modern business, insights are the currency that fuels growth and innovation. Gene emphasizes the growing awareness at the C-Level regarding the immense value of advanced insights. No longer relegated to the IT department, data is taking centre stage in strategic decision-making, enabling organizations to make informed choices that drive profitability and competitive advantage.

2. The Emerging Field of DataOps

DataOps is a term gaining momentum in the data management arena and for good reason. Gene delves into this emerging practice that focuses on streamlining and accelerating the entire data lifecycle. DataOps seeks to bridge the gap between data engineering, data integration, and data analytics, enabling organizations to rapidly transform raw data into actionable insights. By embracing DataOps, companies can respond swiftly to market changes and customer demands, making it an indispensable approach for those seeking agility and speed.

3. Incremental Achievement of Ambient Data Governance Enterprise-Wide

Data governance is the cornerstone of data quality and integrity. Gene introduces the concept of ambient data governance – a strategic shift from traditional, heavy-handed governance approaches to a more pervasive and organic form of governance. This evolution in governance empowers every corner of the organization to take responsibility for data quality and compliance. It’s a shift that fosters a culture of data stewardship, where each individual becomes a custodian of data excellence.

4. Implications for Data Quality and Data Governance Teams

As data professionals, maintaining data quality and governance is paramount. Gene underscores the profound impact that the aforementioned trends have on these crucial functions. Advanced insights require impeccable data quality, and DataOps demands a well-governed data environment. The new era of ambient data governance necessitates a holistic approach to maintaining data integrity. Understanding these implications is essential for data quality and data governance teams to adapt and thrive in this evolving landscape.

In conclusion, the data management landscape is undergoing a significant transformation, driven by trends that are redefining the role of data in business strategy. From the elevation of data insights to the emergence of DataOps and ambient data governance, these trends are shaping a future where data is not just a byproduct, but a strategic asset. Gene Laganza’s presentation provided a comprehensive guide to understanding and harnessing these trends to unlock new levels of success.

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