Businesses are continuously striving to leverage data-driven insights or competitive intelligence, the concept of developing an organizational “data culture” will gain prominence. Data and data analytics will continue to play key roles in global businesses of the future. According to the article Why Data Culture Matters: “Organizational culture can accelerate the application of analytics, amplify […]
Bringing Hyperconvergence Architecture and VDIs to Everyone
A hyperconverged infrastructure (HCI) uses software and/or hardware to create an IT infrastructure that virtualizes all of the needed elements to create an efficient and highly functional computer processing system. An HCI includes compute, networking, and a storage combined together in a virtualized environment, and normally runs on easily purchased, off-the-shelf commercial servers. The primary […]
The Challenge of Scaling Transactional Databases
Generally speaking, databases are storage systems with various built-in software features to manage the movement of data within. A database management system (DBMS) describes software controlling other programs and applications. The creation and implementation of a well-designed database is a serious challenge. With the evolution of data volumes and constantly changing needs, new types of […]
Data Strategy and Serverless Computing: How Do They Work Together?
Businesses need a strong Data Strategy to manage vast amounts of data, drive innovation, develop a data culture, and to maintain a competitive advantage. Though cloud environments offer fast, high-volume data collection and scalable storage space; machine learning-powered data preparation; AI-enabled analytics; data backup and recovery facilities — leaving the developers free to pursue coding. […]
Data Modeling in an Agile World
Data Modeling creates a model for storing and processing data that works in a predictable, consistent manner. It includes the visual presentation of data structures, while enforcing business rules and government policies. A data model focuses on the needed data and its organization, rather than the operations performed on the data. Data Modeling is done […]
A Brief History of Master Data
Master data is generally described as essential business data about people, places, and things. Master Data Management or MDM describes a system for managing the data, which is different than the actual data. Master data is not typically transactional data, but in some situations transactional data can be treated as master data. For instance, if […]
Artificial Intelligence and Enterprise Knowledge Graphs: Better Together
At the heart of things, an enterprise knowledge graph supports decision and process augmentation based on linked data. These models of knowledge domains are created by subject matter experts with the help of machine learning algorithms. They live as virtual data layers on top of existing databases or data sets to link both structured and […]
Data Governance and Data Quality Use Cases
Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of […]
Data Governance and Data Science: What is the Intersection?
With the rising concern surrounding the manipulation of data and misuse of statistical methods in Data Science, it is becoming imperative that strong Data Governance policies and practices are put in place to curb any degeneration of data and the scientific methods used to arrive at data-driven conclusions. Data Governance (DG) is expected to play […]
Case Study: CEMEX Works to Become a Data-Driven Company
Digital transformation is alive and well at CEMEX, a global leader in building materials. It started its journey two years ago, evolving from a traditional brick-and-mortar business model to a digital one where customer-centricity is the dominant factor over product-centricity. Now it needs to become an even more data-driven company, where its data powers digital […]