Self-service analytics is evolving to meet the needs of modern enterprises. Instead of running static reports or simply visualizing data, users can now type natural language queries that make interacting with data even easier. And the results literally speak for themselves in the form of narrated data visualizations.
This article provides a brief overview of today's self-service analytics market and why every organization should care.
Self-service analytics is most often associated with power users otherwise known as citizen data scientists. The self-service analytics concept began about 15 years ago with self-service reporting because lines of business were tired of waiting for IT to deliver custom reports. Conversely, IT had better things to do than generate one-off reports.
Not to change the topic here:
Analytics as a Service (AaaS) Market Size to Reach USD 126.48 Billion by 2026 - Valuates Reports
AaaS solutions allow data experts to understand diverse trends, such as identifying opportunities for financial growth, financial benchmarking against industry standards, and identifying financial implications. These factors are expected to further boost the Analytics as a Service market size.
The report focuses on the growth prospects, restraints, and trends of the analytics as a service market analysis. The study provides Porter's five forces analysis to understand the impact of various factors, such as suppliers' bargaining power, competitive intensity of competitors, the threat of new entrants, threat of substitutes, and buyers' bargaining power on the global market.
The Best Way to Get Started with Data Analytics - InformationWeek
Over the past several years, enterprises of all types and sizes have transformed themselves into data-driven organizations. With the assistance of data analytics, it’s now possible to put customer and market data to work and obtain rewarding insights almost immediately.
While data analytics' benefits are well documented, some organizations remain stubbornly on the sidelines, concerned that the cost of launching and running a data analytics project will outweigh any potential rewards. Yet as data analytics technology grows ever more powerful and accessible, such enterprises may now want to reconsider their decision.
Learning Analytics Is Going to Be the Next Big Thing in E-Learning and Student Performance
With in-depth capabilities in developing advanced e-Learning models and customized digital transformation solutions, Quantzig is at the cutting-edge of enabling digitalization for organizations to drive knowledge transfer & improve the experience for the end-users.
Were you following this:
Double digit growth expected for big data analytics market - report
The global Big Data Analytics (BDA) market will witness double-digit growth in the post-pandemic COVID-19 era, according to new research from Frost & Sullivan.
The analyst firm's new report, Post-pandemic Growth Opportunity Analysis of the Big Data Analytics Market examines what global markets could look like under the scenario of the COVID-19 virus being contained by August 2020, and that global markets will be able to recover by the end of the year.
The Global Big Data & Business Analytics Market is expected to grow from USD 192.24 Billion
Microsoft releases Azure update with text analytics for health capabilities | Healthcare IT News
Microsoft on Wednesday announced the inclusion of text analytics capabilities within its Azure Cognitive Services product.
According to the software giant, the Text Analytics for health feature can process a wide variety of data types and tasks, including extracting more than 100 types of personally identifiable information (including protected health information) from unstructured text.
The new preview feature can also associate words or phrases in text with semantic entities – such as illness symptoms; diagnosis; medication name and class; and dosage – and identify connections between concepts.
IBM Ramps Up AI, Analytics Via New File, Object Storage
IBM Thursday introduced new storage hardware and software aimed at placing its storage at the center of large-scale data requirements for artificial intelligence and analytics workloads.
The new offerings are aimed at helping to build the kind of information architecture needed to get the most out of businesses' fast-changing data, said Eric Herzog, IBM's chief marketing officer and vice president of worldwide storage channels.
"The new stuff is all about storage solutions for AI, big data and business analytics," Herzog told CRN. " IBM thinks customers need an information architecture to build AI before they can collect and analyze their data and feed it into their AI systems."
No comments:
Post a Comment