Data regulations describe policies and laws ensuring that processed data is shared or governed appropriately, where the right data assets go to the right place at the right time. Data regulation falls under the umbrella of Data Governance. Advances in technology, such as cloud computing, allow individual’s or company’s data to be stored cheaply and […]
Data Governance vs. Blockchain
Data Governance is the hot topic in today’s security- and privacy-concerned digital ecosystem. Blockchain technology offers data-centered security to sensitive, transactional systems that require tamper-resistant, fully auditable tracking mechanisms. Thus, blockchain and Data Governance (DG) complement each other in many ways, while maintaining distinct operational philosophies and application turfs. Blockchain is today’s preferred technology for […]
What Is a Data Architect?
A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy into a Data Architecture and implementing this structure to align with an organization’s Data Governance. An architect is one who designs and advises on the construction of something. Data architects take an organization’s raw data and data assets and builds a […]
Tools for Quick Wins with Data Architecture and Data Governance
Data Governance can have various definitions, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and […]
What Is Data Ethics?
Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]
So You Want to be a Data Manager?
A data manager develops and governs data-oriented systems designed to meet the needs of an organization or research team. Data Management includes accessing, validating, and storing data that is needed for research and day-to-day business operations. Currently, a wide array of organizations are using big data to gain insights into customer behavior and to provide […]
The Cloud Managed Services Market is Growing — and That’s Good for MSPs
Click to learn more about author Jay Chapel. Lately, we have been talking to quite a few providers of cloud managed services that play in both the private and public cloud spaces. These conversations have centered around how cloud management needs are evolving as enterprises’ hybrid and multi-cloud needs have accelerated. Most refer to this […]
Demystifying Data Architecture
Ludwig Mies van der Rohe said, “Architecture starts when you carefully put two bricks together”—and Data Architecture begins upon creating, storing, and putting two or more characters together, be they sets of records, emails, pictures, audio, video. This resonated well with initial thoughts about Data Architecture, as it is comprised of things, the functionality of […]
Fundamentals of Self-Service Business Intelligence
It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
What Is Data Intelligence?
Just as a business must be effective in monitoring and managing finances, it also needs data intelligence capabilities to monitor and manage its data assets. Data intelligence, describes discovering, understanding, and governing data so that the business gets the maximum value in its investment of data with the minimum risk. This can also mean a […]