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, […]
Advanced Analytics: Exploration of Some Transformative Future Trends
The wide availability of streaming devices, monumental volumes of data, cheap storage platforms, and hosted Analytics Infrastructure have jointly contributed to the rapid adoption of Advanced Analytics by businesses of all shapes and sizes. Any reasonably well-informed business can now take advantage of outsourced Analytics Platforms and extract the maximum value from their data. This […]
The Future Impact of Data Science on Business Analytics
The field of Data Science is in a transitional mode in terms of how the latest data technologies are being used to solve business problems for a strategic advantage. In the near future, Data Scientists will conduct their business very differently. As Big Data, algorithm economics, IoT, and Cloud continue to become mainstream across global […]
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 […]
Augmented Analytics Use Cases
In an era where Business Analytics is about automating the data preparation and advanced analytics tasks, Augmented Analytics promises hopes for the future generation of Citizen Data Scientists. In Augmented Analytics, Machine Learning (ML) algorithms and Natural Language Processing (NLP) techniques together achieve automated Data Preparation and Business Intelligence. This innovative technology offers sophisticated tools to […]
The Impact of Data Quality in the Machine Learning Era
A significant issue in Enterprise Data Management today is Data Quality, because business data requires thorough cleansing and preparation to be used as input to any Analytics or Business Intelligence system. In an era of automated and Self-Service Business Analytics, Data Quality has assumed even more importance as average business users do not often 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 […]
IoT Use Cases: Internet of Things Applications Evolve
The Internet of Things (IoT) technology is changing the way business and individuals live and work in their daily lives. Today, industrial operations, manufacturing units, healthcare centers, government offices, educational institutes, and businesses the world over are able to gather and organize data from diverse sources. They can analyze it, make predictions, and perform modeling […]