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Description
Analytics Intelligence is a pioneering company specializing in the development of software for data analytics and artificial intelligence. We are convinced that the rapid evolution of data and its analysis, along with advancements in artificial intelligence, will profoundly transform the operations of organizations, municipalities, and government entities in the years ahead. Our offerings include a range of services and products designed to assist clients in executing a robust digital transformation strategy that stands the test of time. Furthermore, we provide consulting services that focus on custom data architecture project planning, management, and implementation, alongside data science and insight reporting services tailored for innovative organizations in both the public and private sectors. By merging the expertise of human data scientists with cutting-edge artificial intelligence technologies, Analytics Intelligence empowers clients to enhance their data analysis capabilities, improve decision-making processes, and streamline digital services. Since 2010, we have dedicated ourselves to researching and developing advanced artificial intelligence agents and chatbot systems specifically for the enterprise market, ensuring that our clients stay ahead in a competitive landscape. Our commitment to innovation and client success drives us to continually evolve and adapt our offerings to meet the changing demands of the industry.
Description
IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.
API Access
Has API
API Access
Has API
Integrations
Adobe Analytics
Amazon Web Services (AWS)
Google Analytics
IBM Z
Integrations
Adobe Analytics
Amazon Web Services (AWS)
Google Analytics
IBM Z
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Analytics Intelligence
Founded
2010
Country
United Kingdom
Website
analyticsintelligence.com
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/z-anomaly-analytics
Product Features
Web Analytics
Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking