Improve Data Clarity and Business Outcomes with Anomaly Detection!

Select Augmented Analytics with Anomaly Monitoring and Alerts

Anomaly detection in data analytics is defined as the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well-defined notion of normal behavior. Understanding anomalies in data can help a business by revealing trends, mapping targets and adapting to change with fact-based information that will help the enterprise and prescribe strategies to encourage agility and flexibility in the market and among competitors.

‘Using anomaly alerts and monitoring tools, business team members can quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results.’

A data anomaly is revealed when there is a dataset deviation or irregularity – something that is out of the bounds of expected patterns and behaviors. It is hard to overstate the criticality of anomaly detection. Without a comprehensive understanding of data, businesses can make risky decisions, misunderstand data integrity and depend heavily on information that is misleading, flawed or riddled with errors.

To accurately monitor and manage anomalies, the business must select an augmented analytics tool with comprehensive data visualization, data quality and anomaly monitoring tools, and the capacity to share and collaborate on information obtained through these tools.

Select interactive tools that allow a business user to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. These tools should include KPI monitoring, Auto Insights and Key Influencers.

Business Users Can Leverage Anomaly Monitoring and Alert Solutions to Understand Data

These tools allow business users with average technical skills to:

  • Identify a dataset
  • Define a KPI target
  • Define Influencers Using System Recommendations
  • Define Polarity and Frequency
  • Receive Alerts Via Email and In-Portal Notifications
  • Find the Root Cause of Issues to Solve Problems
  • Identify Opportunities to Improve Performance
  • Detect Anomalies, Increases, Decreases, Volatility and Trends
  • Discover Which Factors Caused Anomalies by Analyzing Key Influencers

Using these simple tools business team members can quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results.

‘It has been said that lack of data clarity can be ‘death by a thousand cuts.’ Without a clear picture of anomalies, outliers, and other factors that affect the quality and dependability of data, the enterprise cannot make an educated decision.’

To find out more about Anomaly Alerts And MonitoringContact Us. If your organization is looking for Augmented Analytics that leverages advanced techniques to keep pace with changing enterprise needs and support business agility, let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

Auto Insights: The Secret Weapon for Analytical Results

Auto Insights: Clear and Concise Analytics

Gartner predicts that ‘organizations that offer users access to a curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not.’ In order to make the most of the data that resides in all the corners of your enterprise, you must make sense of that data, and leverage it to create products and services, to compete in your market of choice and refine your workflow and tasks to improve productivity and agility.

The key to making the most of your data is analytics, and the ability to gather and analyze data and produce results that are intuitive and clear. Machine learning has evolved to support the average business user with tools and techniques that make it easier to gather and analyze data using simple techniques that are supported by analytical techniques, without requiring business users to have data science skills.

‘Auto Insights analytics allows business users to select the dataset to be analyzed, and let the system do the rest.’

Today’s business users expect to have access to software solutions and techniques that are easy to understand and navigate. As consumers, they have the world at their fingertips, with simple techniques that require little to no technical knowledge. If your enterprise plans to adopt augmented analytics tools and business intelligence techniques, it must provide simple tools that are easy enough for the average business users to incorporate into workflow and tasks. This approach will help the organization achieve its analytical goals while ensuring an appropriate return on investment (ROI) and decreasing Total Cost of Ownership (TCO). It can also encourage and enable Citizen Data Scientist initiatives and improve data literacy.

Business Users Can Leverage Auto Insights to Easily Analyze Data

The Auto Insights approach to analytics provides a foundation of Assisted Predictive Modeling and easy-to-use tools, making it simple enough for every business user to adopt as an important tool in the team toolkit, and supporting the path from business user to Citizen Data Scientist, with tools that encourage data literacy.

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Auto Insights allows business users to select the dataset to be analyzed, and let the system do the rest. The tool will interpret the dataset, select important columns of data, analyze its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insight so the user can easily see and understand the results.

The Auto Insights concept is applied to data repositories to enable the enterprise and its business users to perform complex data analytics and share analysis across the organization in a self-serve, mobile environment, bringing the power of sophisticated, advanced analytics and smart data visualization to the members to automate and analyze, so enterprise users can quickly get the answers they need and move on to make confident decisions.

‘The key to making the most of your data is analytics, and the ability to gather, analyze and view data easily, and produce results that are intuitive and clear.’

If you are interested in finding out more about the advantages of the Smarten Auto Insights approach to Augmented Analytics and self-serve search analytics, Contact Us to explore how these techniques can help your enterprise apply analytics to achieve results. Let us help you realize your business goals and objectives with fact-based information.

Original Post : Auto Insights: The Secret Weapon for Analytical Results

Augmented Analytics with Auto Insights Support Business Users!

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too!

Gartner classifies essential augmented analytical components and technologies as follows:

  • Machine learning
  • Natural Language generation and natural language processing
  • Automation

‘Combine the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined auto insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.’

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

One such feature that users will look to for quick results and clear, concise decision support is the concept of auto insights.

Auto Insights Adds Clarity and Ease-of-Use to Augmented Analytics

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Using this approach, business users will no longer have to select data columns or analysis techniques such as classification or clustering. Instead, the user will simply select the dataset to be analyzed. That’s it!. The system interprets the dataset, selects important columns of data, analyzes type and variety and other parameters and then uses intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights.

Users can easily understand data and apply correlation, classification, regression, or forecasting, or other appropriate technique(s) based on the data the user wishes to analyze. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

By combining the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.

This approach provides support for sophisticated, advanced analytics and smart data visualization to automate the analysis process, so business users can simply point to a dataset and let the system do the rest.

‘The combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.’

Find out how Smarten Auto Insights can help your team and your organization. Leverage the essential components of Augmented Analytics, as defined by Gartner, and provide seamless, easy-to-use, sophisticated features and functionality to support your business users and transition your team members to Citizen Data Scientists.

Insight and Perspective: The Gifts of Augmented Analytics!

Augmented Analytics: Insight Comes from Perspective!

Perspective is everything. You can stare at numbers and columns all day and never see the one nugget of information that will give you insight and help you solve a problem or find that one opportunity to drive the business to the next level. When you and your business users can leverage augmented analytics tools, without worrying about complex algorithms or writing code or designing reports, you can find those elusive nuggets of information and use them to improve your business results.

Too Busy to Monitor Results? Augmented Analytics Can Help!

With Augmented Analytics Tools You Can Gain Insight and Track Business Results!

If you own or work in a business, you know that, while you are busy doing what you do on a daily basis, things can change. The change itself is challenging but what is more challenging is staying abreast of what is changing, where it is changing and how it is impacting the business. If you aren’t aware of the change, things can sneak up on you. Your business can get off track and, if you aren’t aware of that misstep, you risk greater loss as time goes by. At the same time, the changes that occur that might provide a market opening or an opportunity can also fall by the wayside if you are not paying attention.

Want to Know Your Business Future? Get Auto Insights!

Read the Tea Leaves For Business Results with Key Influencers and Auto Insights!

Even if your business results are on target, even if you feel you have a good handle on how to run the business and what your customers want, there is always room for improvement, and the issues that arise can often come out of nowhere. Even the best business managers cannot anticipate and see how every detail of the business might come together to create a challenge OR an opportunity.

Augmented Analytics Solution: Pass or Fail?

Choose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

Auto Insights Provide Simple Answers for Business Users!

How Can I Make it Easier for Business Users to Perform Analytics?

When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will support its project goals. One of the most important factors of business user analytics is user-friendly, simple analytics in an augmented analytics environment.