Complex Event Processing in 2020: in-Depth Guide

Some events caused by manual mistakes or glitches, disrupt an organization’s process flow, leading to significant losses. Identifying root causes after these catastrophic results occur does not prevent future events since processes can be impacted in numerous ways. Organizations leverage complex event streaming techniques and tools to identify current process status by examining streaming data.

What is complex event processing (CEP)?

Complex event processing is a real-time alerting hub of the organization. Complex event processing is connected to the various sources of data in the business with a series of pre-built triggers for certain events. When certain events happen, specified actions (e.g. alerts) can be triggered. Read more

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Self Service Reporting in 2020: In-Depth guide

Self-service reporting tools enable business users direct access to data which leads to faster access to data, reduced workload for technical personnel and alignment across different business units as those units rely on a single source of truth.

What is self-service reporting?

Self-service reporting is a component of self-service analytics that enables business users to generate reports and gain insights from data without relying on technical skills. These tools support creation of custom reports from any connected data source. Business users can use these tools to conduct their analysis and generate real-time dashboards via easy-to-use graphical user interfaces (GUIs) so that executives can make data-driven decisions without involving the tech team. Read more

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Edge Analytics in 2020: Guide to intelligent IoT applications

Data and insights are valuable assets for any company with data driven decision making permeating every aspect of our lives. 

Historically, businesses collected data from different IoT devices and sensors, gathered them in a central point such as a data lake or data warehouse and performed analysis to gain insights. What if organizations can remove the step of data centralization/integration and skip to the analysis phase? This approach is called “edge analytics” and enables organizations to achieve Read more

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Augmented Analytics in 2020: Democratization of Analytics

 AI capabilities such as machine learning, natural language processing and computer vision and to some degree other technologies like AR and VR are poised to augment analytics activities like preparing data and identifying insights. Augmented analytics will enable companies to run more efficient and effective analytics departments and internalize data-driven decision making and enable employees to become citizen data scientists.

What is augmented analytics?

Cognitive or AI-driven or augmented analytics all mean modern analytics: analytics that leverages the latest advances in AI algorithms such as deep learning. When you google these terms, you may find slightly different explanations  Read more

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Cloud analytics in 2020: Guide to cost-effective analytics

Businesses from various industries are producing a vast amount of data they don’t benefit from. Data is only valuable if enterprises can benefit from the insights derived from it. Lack of technical expertise in setting up and maintaining analytics solutions and the initial cost of an analytics investment can be barriers to achieve this. Cloud analytics services bring the value of analytics to businesses quickly without extensive setup times.

AaaS also replaces on-premise analytics with a cloud-based system. This enables companies to replace investment with operating expenses. Given the highly evolving nature of modern analytics, this enables companies to try various analytics approaches before making a large investment. Read more

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