Enterprise Architecture helps growing businesses and corporations to realize their strategic goals. It applies architectural principles to help large or growing organizations to navigate the changes that influence business, information, and technology in the modern world. Enterprise Architecture supports businesses in creating competitive advantages, reducing risk, and promoting cost-efficiency and scalability. Enterprise Architecture (EA) came […]
Case Study: Helsana Automates Their Data Warehouse Infrastructure
Switzerland’s largest health insurance provider Helsana serves one out of every four insured, which translates into 1.9 million customers and 6.4 billion Swiss francs in sales annually. In the past, innovation had been prevented by reliance on hand-coding, manual processes, and institutional knowledge held by individuals, said Gallus Messmer, data warehouse architect at Helsana — […]
Driving Good Data Management Across the Enterprise
Data Management develops in stages across the enterprise, according to the DATAVERSITY® Trends in Data Management Report. One or a few teams take the lead doing Data Management, ensuring successful data knowledge, protection, access, and value for projects or products. Then the good practices stay with that team or project, while others miss out on […]
The Chief Data Officer and the Chief Digital Officer: Work Together, Not Apart
Data vs. digital: That’s a big tension within many organizations. Chief Data Officer s and Chief Digital Officers don’t always agree about some important things, said Joe Caserta, president of consulting firm Caserta, during his DATAVERSITY® Enterprise Data World Conference presentation titled Building a Foundation for Disruption and Advanced Analytics. What’s the disconnect between the […]
Data Privacy Challenges: Compliance-as-a-Service Evolves
Massive data stores, a rapidly changing regulatory landscape, and the potential for catastrophic damage to brand and bottom line have made privacy the top concern for companies across the globe. Concern about the accelerating pace of data privacy regulation headed the list of Gartner’s 2019 Emerging Risks Monitor, and depending on the industry, between 64 […]
Blockchain Trends in 2020
2020 is likely the year when blockchain technologies will witness higher adoption rates and usage across industry niches. As announced in 2019, China may lead the way to substantial investment in blockchain research and applications. The largest cryptocurrency exchanges are in China, and this year may see some dramatic deployment shifts from the multi-cloud blockchains […]
Fundamentals of Cognitive Analytics
The journey of data analytics began with simple descriptive (review of past events) and diagnostic (analysis of past events) exercises and moved to the more sophisticated predictive and prescriptive genres,where advanced data models have enabled accurate future forecasts and actionable intelligence. And now cognitive computing has further strengthened the actionable predictive power of the machines […]
A Brief History of Data Quality
The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact checking and Data Governance, and, as a consequence, make decisions that give them an […]
Data Architecture Trends in 2020
Data Architecture is tightly entwined with Data Strategy. It is the infrastructure to realize Data Strategy goals; the blueprint for managing data. It’s a big tent: ETL, Big Data, cloud, data virtualization, DataOps, governance, analytics, and anything else related to describing, organizing, integrating, sharing, and governing data. A look at many topics and discussions going […]
Hybrid Cloud vs. Multi-Cloud Architectures
The workloads (applications) running on an enterprise hybrid or multi-cloud network determine the architectural requirements. All cloud architectures share some common patterns, while the specifics of running workloads necessitate custom architectures. The architecture patterns are broadly of two types: “distributed-deployment” pattern and “redundant-deployment” pattern. In the former, an application runs in an environment best suited […]