Hyperautomation describes a mixture of advanced technologies – robotics, artificial intelligence, machine learning – currently being used to make automated processes drastically more efficient and to augment humans. It encompasses a range of tools which can be automated, especially the more sophisticated aspects of automation, including analysis, discovery, design, measuring, monitoring, and reassessing. To function […]
The Realities of Agile Transformation
The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture. I will summarize the results of such a transformation […]
Developing Agile Data Warehouse Architecture Using Automation
In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. However, the advent of agile data warehouse architecture has truly transformed how enterprises build their data architecture and enable business intelligence. In essence, agile […]
Developing a Data Strategy Roadmap
A Data Strategy roadmap is a step-by-step guide to transform a business from its current state into the desired business organization. It is a more detailed, researched version of the Data Strategy and communicates when and how to implement specific advances to develop and upgrade a business’s data processes. A Data Strategy roadmap acts as a useful […]
Enabling Agile BPM with an Adaptive Architecture
Businesses rely on real-time data to make strategic business decisions. To harvest the latest data and get the best intelligence to guide decision-making requires an agile business process management (BPM) architecture. Businesses need to be able to ingest the latest data and act on that information to remain competitive. Different BPM platforms use a variety […]
Informing and Empowering Agile Teams with Embedded Analytics
For software developers, the agile methodology is not a new concept – it’s been around for decades in one form or another. In 2001, a group of individuals wrote The Agile Manifesto, outlining 12 guiding principles for the agile methodology and cementing the practice in the industry. The agile team has had a huge impact on […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Machine Learning, Data Governance, and Data Ethics
Data ethics — the collection and use of data in an ethical manner — can be combined with Data Governance and machine learning. Data ethics places a strong emphasis on the behavior of people or organizations as they gather or distribute data. Laws become necessary when some people chose to ignore ethical behavior. At its […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
Is DataOps the Savior of Under-Pressure Analytics Teams?
DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream. The number of data requests from the business keeps growing […]