SAS Viya, a data analytics framework, has the potential to enhance corporate efficiency in data analysis by facilitating faster processing. SAS Viya facilitates the accessibility of big data analysis for enterprises, enabling a streamlined progression through each phase of the analytical process, encompassing data gathering and data deployment, hence enhancing efficiency. The utilization of SAS Viya has proven advantageous for all the companies I have interacted with, spanning diverse sectors, owing to its efficient timetable and adaptable operational capabilities. Please peruse the article to gain further insights into Sas Viya, its competitors, and potential alternatives.
Sas Viya
A cloud-based in-memory analytics engine called SAS Viya offers enterprises data visualization, reporting, and analytics for useful data insights. It combines visual analytics, visual statistics, and data science with AI to enable end-to-end self-service analytics for businesses. It has support for programming in R, Python, SAS, Java, and Lua and makes use of a uniform code base. Computer operations are split among several cores on a single server using SAS Viya. For however long it is necessary, all information and tables are kept in memory. The SAS Viya engine provides a secure, scalable multi-user environment where concurrent users can cooperate with one another.
Key Elements
#1. Reporting and Visualizing:
Utilize autonomous data exploration and manipulation to delve into data for thorough analysis and view important business indicators. To gain insight from people around the workplace, create and personalize interactive reports and visualizations. Use auto-charting to receive recommendations for the graphics that will best display the relevant data.
#2. Modeling data
Utilize neural networks, regression, and clustering to analyze data and create prediction models. Ensure version control by following the development of data models and their use by registering, validating, and keeping track of each version. creates and saves copies of model files and properties for later use.
#4. Graphical Statistics
Create several different situations at once, then hone them with what-if analysis to get insights through testing. unifies all business products into a single visual analytics solution, regardless of the languages they can support.
#5. Integrating the Cloud
Create low-code technologies by integrating cloud-native SAS open-source models into business and mobile applications. Utilize a workload management solution to optimize analytics workloads on clouds like Microsoft Azure and guarantee cost-effective analytics migration to the cloud.
#6. ML-Base Insights
By mixing structured and unstructured data in integrated machine learning systems, you can gain useful insights from new kinds of data. Select the preferred ML algorithm from a variety of choices, and quickly identify the best parameter settings. For deep learning tasks like computer vision, natural language processing, forecasting, and speech processing, use Python inside Jupyter notebooks.
Benefits and Insights of SAS Viya
These are SAS Viya’s main differentiators and benefits.
#1. Boost Decision-Making
Create analytical insights from past and present confidential information to make wise business decisions. Through parallel processing, you can compute enormous volumes of data more quickly and solve complicated problems. By implementing operational decisions that specify real-time optimum actions at scale, workflow efficiencies can be increased.
#2. Analytics For Self-Service:
No technical expertise is required to carry out automated forecasting, goal-seeking, and scenario analysis. For a holistic view of business metrics, combine geographic data with text analytics to determine user sentiment.
#3. Increase ROI:
Integrated automation for data preparation, feature engineering, algorithm selection, and AI-powered data discovery helps you save time. Instead of wasting time on laborious data administration and analytics duties, innovate.
#4. Data Security
In addition to auditing procedures, make sure that data is encrypted while it is in transit and at rest across systems. Through Kerberos, SAML, OAuth, and OpenID, you can easily connect to external data management systems like Oracle, Teradata, Facebook, Amazon, and Esri.
#5. Management of Data
Data can be imported using an IDE or REST APIs, visualized, and analyzed using self-service data preparation. To examine desired metrics, join tables, apply functions, and execute computations. You may also drag and drop, pivot, and slice and dice data.
#6. Additional Analytics:
Through guided analysis and dynamically generated suggestions, you may find relationships in the data and keep track of abnormalities and outliers. Create simple-to-understand dashboard summaries and easy-to-understand visualizations to tell data stories. Create what-if scenarios for forecasting and predictive analytics to gain useful future insights.
#7. Mobility
Through a native mobile app that supports a variety of charts, graphs, and tables, access business reports on the move. Configure app features for individual users to add and view reports, share links, add and see comments, and view alerts on a device-by-device basis.
#8. Architecture That Scales:
Utilize its modular architecture for microservices to scale for business needs. Also, through the SAS Environment Manager, you can keep an eye on each microservice instance’s configuration and health. It runs on Cloud Foundry as a platform-as-a-service (PaaS) and deploys without a hitch to any environment, including the cloud.
Sas Viya Competitors
The most popular SAS Viya competitors and alternatives that customers and reviews contrast are the Other Product Suites Software options shown below. When looking into SAS Viya competitors and alternatives, functionality and data analytics are also vital things to take into account. We’ve put up a list of products that reviewers deemed to be SAS Viya’s top competitors and alternatives overall.
#1. Centralpoint
Microsoft-based Centralpoint, developed by Oxcyon and included in Gartner’s Magic Quadrant for Digital Experience Platforms, may be set up on-premises or in the cloud. It is a knowledge management Sas Viya competitor that is role-based, highly scalable, and N-Tiered. Over 350 organizations utilize it worldwide, and its primary uses include private log-in solutions for partners and clients as well as enterprise-grade intranets. Through its regular Data Transfer processes, Centralpoint automatically combines diverse data (both organized and unstructured). Additionally, Centralpoint offers data mining and metadata enrichment to enhance federated search for all users according to their roles. For a single point of access to search and track all user activity, Centralpoint interacts with back office systems like SharePoint, PeopleSoft, Workday, SAP, Oracle, and others with ease. In order to consolidate user compliance, Centralpoint also offers thorough user reporting, online learning, and gamification.
#2. Rayven
Generally, the Dynamix all-in-one data, AI, and IoT platform from Rayven is made to make it simple for businesses to combine all of their current data sources and technologies into a single, live source of truth from which they can build or use pre-configured real-time industrial applications and IoT solutions to add entirely new capabilities. Businesses can deploy Industry 4.0-ready solutions in weeks thanks to technology, services, and industrial expertise. Instead of spending time and money on developing a base technology platform, you can adopt multiple real-time applications and IoT solutions quickly to produce a quick, verifiable return on investment. Speak with Rayven today to see how quickly and affordably we can assist with real-time data integration, processing, and IoT solution design.
#3. Suadeo
Business organizations can explore, manage, define, and analyze data with Suadeo, a self-data service (SDS) solution that uses a data mesh architecture. Teams can use a dashboard to view data in accordance with specifications. Users of Suadeo may extract, process, and exchange data from a unified platform while also developing low-code applications, creating reports, and extracting data. Businesses can create bespoke workspaces and manage territory using a variety of connected data sources.
#4. Jmp
JMP is an on-premise data analytics platform that helps scientists, engineers, and data explorers visualize complex data linkages via interactive dashboards. The data acquisition and cleanup functions allow users to import data from ODBC-compliant databases and check for abnormalities, entry errors, missing values, and other irregularities. Also, data explorers can employ JMP reliability analysis and what-if scenarios to find patterns, understand product performance, and solve design problems. It lets users construct tests based on their problems, finances, and time. Leaders can do market and consumer research utilizing data mining, survey analysis, choice trials, and other methods. Additionally, JMP lets companies use SAS, MATLAB, R, and Python. It has a permanent license, email, a forum, documentation, and FAQs.
#5. Bloomreach
We aim to help you maximize our resources so you can succeed immediately. Bloomreach, a Sas Viya competitor and alternative, integrates the shopping experience’s vital components to engage, motivate, and permanently convert customers. Real personalization is here. Bloomreach consolidates key components of the commerce experience to help teams unify and focus on the most important commercial goal of the day: delighting and retaining customers. Personalization—presenting the right content and products to the right customers at the right time—drives revolutionary commerce. Also, Bloomreach helps your organization generate exceptional customer journeys by combining unified customer and product data with AI optimization.
#6. Zema
Businesses in the agriculture, energy, data services, and other industry segments can streamline activities related to data alignment, aggregation, sharing, and more on a single platform with the aid of ZEMA, a data discovery and analysis solution. It enables staff members to manage data repair procedures, continuously monitor data, and receive automatic data violation notifications. Also, ZEMA gives team members the ability to create dashboards, see charts, create outputs that may be customized, navigate using a tree structure, and control data search processes. By merging data sources, modifying certain data, and using built-in formulas, it enables staff to produce customized insights and analyses. More so, administrators can also keep an eye on user behavior, manage approvals, guarantee legal compliance, and establish permission rights to prevent employees from accessing particular data.
Is Sas Visual Analytics the Same as Sas Viya?
With features including high availability for always-on responses, quicker in-memory processing, and native cloud compatibility, SAS Viya updates the SAS Platform. SAS Visual Analytics is scalable and resilient and can handle more users, more data, and a variety of BI and analytical workloads while maintaining consistency and control.
What Is the Difference Between Sas 9.4 and Viya?
The way each platform handles distributed processing may be the most significant core platform functional difference between SAS 9.4 and SAS Viya. SAS Viya uses the CAS server, and SAS 9.4 makes use of SAS® Grid Manager, SAS® High-Performance Analytics (HPA), and SAS® LASRTM.
What Are the Limitations of Sas Viya?
Only SAS Visual Analytics, SAS Visual Statistics, and SAS Visual Data Mining are available through SAS Viya on Windows. It is also limited to single-machine situations, where the CAS server and all other supporting servers and services are placed on the same physical or virtual computer.
What Language Does Sas Viya Use?
A SAS session using the CAS procedure is just one of the interfaces SAS Viya offers for executing CAS activities. The CAS process specifies CAS actions and their input parameters using the CASL language.
Is Sas Viya Cloud Based?
You can develop in SAS, Python, or R using the comprehensive cloud-based software suite known as AS Viya for Learners. It supports the entire analytics life cycle, from data to discovery to deployment.
Are Sas Viya and Sas Studio the Same Thing?
The SAS Studio web application serves as the only interactive development interface for SAS code in SAS Viya. SAS Studio (a different version from that included with SAS Viya), SAS Enterprise Guide, Display Manager System (DMS), and the code editor in SAS Data Integration Studio are just a few of the interfaces available in SAS 9.4.
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