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What is SAS Web Analytics Solution?

SAS Web Analytics is tailored to gather, cleanse, and organize large volumes of raw data generated from your website while effortlessly integrating it with offline data sources. This platform not only provides a thorough analysis of web data but also showcases this information through a versatile reporting system equipped with user-friendly, interactive tools. By leveraging SAS Web Analytics, businesses can derive essential insights that empower them to take charge of their data. Users have the ability to create reports that are customized to meet the specific requirements of their organization, moving beyond generic industry benchmarks. Furthermore, SAS's sophisticated analytics go beyond mere reporting by forecasting future trends and customer behaviors, which helps refine marketing strategies and optimize budget allocation. Numerous organizations across different industries face the challenge of turning the extensive data collected from their web channels into actionable insights. To facilitate informed business decisions, it is crucial to effectively convert the diverse and substantial raw web data into valuable knowledge, thus enhancing decision-making processes. In conclusion, utilizing this robust tool can dramatically boost your organization's performance and enhance its competitiveness in the marketplace, allowing for greater adaptability in an ever-evolving business landscape.

What is IBM Digital Analytics?

As companies aim to harness the power of artificial intelligence, it becomes imperative for them to collect data from diverse sources, employ advanced tools and frameworks, and deploy models across different operational environments. However, according to IDC, one-third of executives' time is primarily spent on the challenges of data integration and preparation for AI initiatives. To bolster business continuity and resilience during times of uncertainty and disruption, it is vital to streamline and automate the processes of data gathering, organization, and analysis, thereby embedding AI more thoroughly within the organization. Moreover, AI-driven search and text analytics utilize natural language processing to tailor themselves to the specific language and terminology relevant to your industry. This AI-focused governance, risk, and compliance approach enables the management of risk and regulatory compliance with enhanced efficiency and effectiveness, ultimately contributing to a more robust operational foundation. Implementing these strategies not only enhances a company's AI capabilities but also equips them to excel in a rapidly changing market environment. Furthermore, fostering a culture that embraces AI can lead to innovative solutions and improved decision-making across all levels of the organization.

Media

Media

Integrations Supported

Placements.io

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-web-analytics-101790.pdf

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics

Categories and Features

Web Analytics

Campaign Management
Conversion Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking

Categories and Features

Digital Analytics

Not specified

Text Analytics

Not specified

Web Analytics

Not specified

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