The sudden growth of business data in recent years due to streaming data technologies and Internet of Things (IoT), Mobile, and Big Data pipelines, has businesses struggling to put better Data Management practices in place. Organizations are constantly in search of advanced data collection and storage, Data Management, Data Governance, and Data Security platforms. Why […]
Business Intelligence and Analytics Trends 2019
In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]
Analytics vs. Data Discovery
Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]
The Future of Machine Learning and Artificial Intelligence
Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020. Gartner has also predicted that by 2020, AI will become one of the top five investment priorities for at least 30 percent of Chief Information Officers. Global software […]
Data Strategy Needs to Include a Robust Data Architecture
In the digital era, data is the lifeblood of businesses; data piling up from various customer or operational touch-points have to be efficiently collected and managed for a business to thrive and prosper. In short, Enterprise Data Management (EDM) impacts all core business functions like HR, CRM, ERP, or Supply Chain. In such a scenario, […]
Internet of Things vs. Edge Computing: Processing Real-Time Data
In Edge Computing, “data” is processed near the data source or at the edge of the network while in a typical Cloud environment, data processing happens in a centralized data storage location. The Forbes post This Is What You Need to Learn about Edge Computing provides a good illustration of this point. New iPhones have […]
Deep Learning Use Cases
Deep Learning (DL) has become more than just a buzzword in the Artificial Intelligence (AI) community – it is reshaping global business through the prolific use of autonomous, self-teaching systems, which can build models by directly studying images, text, audio, or video data. Such systems can use that data for future pattern recognition. According to […]
The Impact of Data Governance on Self-Service Analytics
An important reason for global enterprises of all sizes to embrace Self-Service Analytics & Business Intelligence (BI) is to allow business users and business units to conduct their daily Analytics work without relying on IT. According to Gartner, by 2019, business users indulging in self-service tools will deliver more Analytics-related output than qualified data professionals. […]
Augmented Analytics and Data Discovery
In a normal business day, waiting to get critical data analyzed and presented in the form of an understandable report can be a waste of valuable time for business users of all levels. Moreover, a report developed by expert Data Scientists or other IT staff may be beyond ordinary comprehension, amounting to even more wasted […]
Data Modeling Trends in 2018
The Database Management and Data Modeling landscapes have evolved significantly in the past few years, from the traditional relational model to now include non-relational models as well. The growth of Big Data and its unstructured and semi-structured data formats, along with trends in Cloud Computing, Artificial Intelligence, Data Lakes, Machine Learning, Blockchain and others pushing […]