As external data begins to gain importance in business analytics, data assumes a new role in global businesses. Now data is not only an organizational asset, but also a distinct revenue opportunity via data-related services offered under the umbrella term of “Data-as-a-Service” (DaaS). DaaS service providers are either replacing the traditional data analytics services or […]
Utilizing Business Intelligence with AI
Business intelligence (BI) is, in essence, new information that is not necessarily common knowledge and is sought to gain a competitive advantage over the competition. Business intelligence comes from a variety of sources, ranging from spies working for the competition to data mining. Contrary to the theme of several current articles, business intelligence is not […]
Advances in Natural Language Processing
Natural Language Processing (NLP) unlocks the ability of machines to read text, hear speech, and interpret words, and NLP has advanced greatly in the last five years. NLP improves data analytics, detects malware, and fights fake news. For example, using NLP the Citation-Informed Estimated Truth (CIET) software program identifies authentic news with a 78 percent […]
How Much Data Quality is Good Enough?
Ask the question “How much Data Quality is good enough?” and see some very puzzled and alarmed looks. Data Quality, comprising all activities making data fit for consumption, plays a fundamental role in trust, security, privacy, and competitiveness. Good Data Quality is critical because it fuels a surviving and thriving business. While it would be […]
Self-Service Analytics Use Cases
Self-service analytics offers dynamic reports to business users, who can analyze the data by sophisticated, in-built functions. This kind of user empowerment reduces reliance on IT staff. Moreover, self-service business intelligence (BI) capability may additionally equip users with external data access and built-in features to instantly generate finished reports. To use a complete range of […]
What Enterprise Architecture Does for Organizations
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 — […]
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 […]
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 […]