Are you one of the minorty organisations who has access to a Data Engineer? No longer constrained to the Big Data organisations, this key role is critical in moving organisations through the digital divide into the digital economy.
47% of data and analytics leaders have identified difficulty in deploying their experimentation data pipelines and workloads into existing business processes and applications. This is a major barrier to the success of data and analytics within the business, and in today’s digital economy, that can have a significant impact.
45% of the overall time spent on data science projects is in problem analysis, data collection and data preparation, not in working towards achieving the project outcome; and major issue for the productivity of the data scientist.
There is a role gap in the modern data and analytics team; in 63% of organisations, no-one holds responsibility for;
- building and managing data pipelines in support of key data and analytics use cases,
- leading the task of curating datasets and data pipelines created by non-technical users, data scientists or IT resources and operationalising this content so it meets production level quality, or,
- deploying analytics and data science into existing business processes and applications.
These tasks should be core responsibilities for someone in any organisation wishing to become truely data driven. Without them there are major barriers in adoption, operationalisation and business process integration of data.
The Data Engineer role can help to bind the business together around a data and information strategy. In fact, if you want to meet the potential offered by Infonomics and data literacy, ensuring this work is done within your enterprise is a must. Providing education, support, driving automation, enabling collaboration across the business, building the data pipelines needed to injest and integrate data into the business, launching new data models, progressing continuous improvement and integrating data into core business processes to maximise business value are activities which need ownership for data & information to provide value into the business.
Gartner have just published new research on this role and offer a template job description for organisations wanting to plug this capability gap. Ehtisham Zaidi – Gartner Principal Research Analyst said of LINQ;
“…the upcoming role of a Data Engineer could vastly benefit from LINQ and its capabilities to provide information supply chain and connect it to business value.”
Gartner’s full research on this role including the evidence from the survey’s they conducted, can be found here.
How LINQ helps
LINQ enables rapid documentation of core data and information entities requried to deliver business value. This knowledge is needed before the Data Engineer can be effective in advancing the role of the data and information assets within the business. The LINQ visualisation – a flow model of how data and information moves through the business, facilitated by people and systems – provides the evidence needed by the Data Engineer to talk with authority about how change will positively impact the business.
LINQ insights prove the outcome of change which can then be articulated by the Data Engineer; by mobilising data and information in this new way, these outcomes are delivered more efficiently through the removal of actions which impact quality, security, availability or productivity.
If you’re a Data Engineer looking for a tool to help you build your value and reputation, you can try LINQ out today.