Tag: Influencer Analytics

Improve Data Clarity and Business Outcomes with Anomaly Detection!

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December 5, 2024

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 Monitoring, Contact 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.

Original Post: Improve Data Clarity and Business Outcomes with Anomaly Detection!

Data Insights Assure Quality Data and Confident Decisions!

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November 26, 2024

Why is Data Insight So Important?

Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to strategize and to create operational goals. Decisions were based on opinion, guesswork and a complicated mixture of notes and records reflecting historical results that might or might not be relevant to the future.

Today, organizations look to data and to technology to help them understand historical results, and predict the future needs of the enterprise to manage everything from suppliers and supplies to new locations, new products and services, hiring, training and investments. But too much data can also create issues. If the data is not easily gathered, managed and analyzed, it can overwhelm and complicate decision-makers.

‘Data insight techniques provide a comprehensive set of tools, data analysis and quality assurance features to allow users to identify errors, enhance data quality, and boost productivity.’

By some estimates, bad data costs global organizations more than five trillion USD annually.

Use Data Insight Techniques and Data Quality Management and Analytics to Achieve Better Results

Data insight takes data to the next level by providing comprehensive data analysis and quality assurance features that empower business analysts and users to quickly and easily identify errors, enhance data quality, and boost productivity. The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data.

By incorporating machine learning, natural language processing and automation within advanced analytics solutions, the enterprise can improve results and support its team with augmented analytics that are designed as self-serve solutions for business users, so the team can gather and analyze information with ensured, sustained data quality and results that are clear and concise. When an analytics solution is built upon this foundation, with advanced tools and techniques to support users, the enterprise can ensure user adoption and positive outcomes. Users do not have to learn complex systems or look to data scientists or business analysts for answers.

Tools that support data insight include numerous data quality management techniques. These tools allow users to see and work with datasets in a way that is targeted and provides clear, actionable information for decisions and strategies.

Overview – Reveals the data quality index in percentage representing the quality level of data. It shows the quality of the dataset and number of columns with listing down the missing values, duplicates, and measure and dimension columns.

Observations – Highlights all detected inconsistencies and anomalies within your dataset, along with the corresponding column names. By clicking on a column name, you can access detailed information about the observation for that particular column and view recommendations for fixing the issue.

Column Analysis – Shows the details related to all the columns in the dataset. It categorizes the columns by their types and shows Sample values, Missing Values, Most frequent values, least frequent values, Unique values and Quality index of that column.

Column Associations – Shows the pairs associations between all columns which helps you to understand the relationship with each other. The degree of association can be determined by the index value, and higher the index indicating a stronger relationship between columns.

Feature Importance – Automatically identifies and displays the target variable along with its key predictors from your dataset. It also shows the influence of each predictor on the target. This helps you select the predictors that have the greatest impact, making it easier to create an effective predictive model.

Missing Value Analysis – Shows the analysis of the missing values across all the columns of the dataset at a glance. The graph visually represents both non-missing (non-null) values and missing (null) values, allowing you to quickly identify which columns have incomplete data.

Column Metadata – Provides information on the dataset’s recency, such as the last update and publication dates. It will also talk about the details like Datatype, Column Type and respective Sample Value of the columns in dataset.

Settings – Customize the data insights computing process for datasets to lower the load and processing time.

Data insight and Data Quality Management tools and techniques provide a comprehensive set of tools, data analysis and quality assurance features to allow users to identify errors, enhance data quality, and boost productivity. Users can uncover hidden insights and improve the overall quality of data with actionable recommendations to take prompt action.

‘By some estimates, bad data costs global organizations more than five trillion USD annually.’

To find out more about Natural Language Processing (NLP), Machine Learning And NLP Search Analytics, and comprehensive data quality management and Data Insight Tools, Contact Us. Discover the power of Augmented Analytics, machine learning, and Natural Language Processing (NLP). Read our free article, ‘Why Is Natural Language Processing Important To Enterprise Analytics?’.

Original Post: Data Insights Assure Quality Data and Confident Decisions!

Use Key Influencer Analytics to Understand Data Relationships!

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September 26, 2024

Analytics Solutions Should Include Key Influencer Analytics!

What is Key Influencer Analytics ? Simply put, Key Influencer Analytics is an analytical technique that helps the user analyze and understand the various factors affecting an outcome, what variables impact the metric, and the ranking of those factors. Key Influencer Analytics takes the guesswork out of decisions by clearly illustrating what factors influence success of a pricing strategy, a business location choice, a marketing campaign, a research project, etc.

‘With the right analytics solution, your users can simply point to the dataset they want to analyze and Key Influencer Analytics will identify the target and the influencers or predictors that will affect the target, along with its impact.’

Grand View Research estimates the analytics software market at nearly 142B USD, with an expected growth of nearly 14% over the next five to six years. The reason for this growth is simple. In order to succeed in their market of choice, businesses must understand the competition, the customer and how their products and services are perceived and embraced in the market, so they can plan for the future and adapt to changes.

Key Influencer Analytics is Key to a Comprehensive Analytics Solution

There are a few factors that will impact the efficiency and effectiveness of the analytics solution you choose.

  • First, the data volume you want to analyze can be very large, and the data can come from disparate systems, so the ability to integrate and gather all data in one place is important. Depending on the size of the dataset a user selects, there may be hundreds or thousands of variables, and business users often find it difficult to identify the rights ones. Yet without the ability to identify the right variables, the business is likely to measure and attend to the wrong things.
  • Secondly, you must provide easy-to-use tools that your team can leverage to find what they need. Users should have interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs. Influencer Analytics empowers every business user and allows them quickly select and target data to achieve results without the assistance of a data scientist, IT professional or analyst.
  • Third, your team needs key influencer analytics to understand the interrelationships of data points and how they affect outcomes so they can adapt and adjust. With the right analytics solution, your users can simply point to the dataset they want to analyze and Key Influencer Analytics will identify the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The system will auto-suggest relationships and present distribution and impact using the most appropriate visualization.

Here are just a few of the benefits of Key Influencer Analytics:

  • Identify what matters most in your data!
  • Understand the impact and interdependence of variables
  • Leverage auto-suggestions and machine learning to get data insights
  • Identify influencers affecting the target variable with auto-suggestions and quick maneuvers using different combinations

‘Key Influencer Analytics takes the guesswork out of decisions by clearly illustrating what factors influence success of a pricing strategy, a business location choice, a marketing campaign, a research project, etc.’

With Key Influencer Analytics your team can address the right issues and capitalize on opportunities to optimize results. Explore Smarten Augmented Analytics modules and components and the benefits of Key Influencer Analytics for your team and your enterprise.

Original Post : Use Key Influencer Analytics to Understand Data Relationships!

Understanding and Addressing Data Anomalies in Business!

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June 18, 2024

How Can My Business Understand and Handle Those Pesky Data Anomalies?

Why guess at the cause of your business results? Whether you are seeing positive or negative results, it is still important to understand the ‘why.’ Without this information, you cannot adapt and adjust to improve declining results, OR repeat and improve those great results you are experiencing.

Continue reading “Understanding and Addressing Data Anomalies in Business!”

Augmented Analytics Must Provide Data Quality and Insight!

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April 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics?

There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data. These enterprises will typically focus on building a team of data scientists or business analysts to help with this task OR they might take on an augmented analytics initiative to provide access to data and analytics for their business users. This is where businesses will often face a second issue; namely that the analytics solution they choose is not designed to easily and quickly provide insight into data and to ensure data quality.

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Key Influencer Analytics Tells You How to Succeed!

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March 19, 2024

Use Key Influencer Analytics to Understand What Factors Impact Success!

Suppose you are trying to understand why a marketing campaign is failing, or what factors cause your customers to buy your services again. What if you need to know whether the color of a product affects the number of units sold in a particular country or area of a country? There are so many variables and components that can affect business success, and understanding the relationship among all the factors of success can seem like a guessing game.

When you are faced with this quandary, it is wise to use analytics to take the guesswork out of the equation. But how do you begin to analyze all the factors at play?

‘Can an augmented analytics tools tell you what algorithm or analytical technique to use? Can it help you understand the relationships of various factors and issues and determine what changes will help you improve the revenue for a product, or help you create a new service package?’

Statistical and analytical experts will tell you that there are three primary factors that can help you decide on the metrics to use for your analysis:

  • The type of data you want to analyze – Understanding the data type can help you decide whether you need to consider a binary approach or look at categories, etc.
  • The character of the data you want to analyze – Are you looking at product attributes, a specific threshold or data range, etc.
  • What you want to accomplish with your analysis – Do you want to identify trends or patterns or are you trying to understand the relationships among the various factors and which factors affect success?
Key Influencer Analytics Helps You Understand Success

…and there is one more critical issue you must consider. Namely, who is doing the analysis? If you want to democratize data and improve data literacy across your enterprise, you will want your business users to understand and use analytical tools. But your team members are not statisticians or data scientists. So, they will need easy-to-use augmented analytics tools.

But can an augmented analytics tools tell you what algorithm or analytical technique to use? Can it help you understand the relationships of various factors and issues and determine what changes will help you improve the revenue for a product, or help you create a new service package?

One of the most frustrating tasks a business user has in analytics is finding and gathering the right data for analysis and ensuring that all factors, variables and data that may affect the outcome of the analysis is included. Depending on the size of the dataset a user selects, there may be hundreds or thousands of variables, and business users often find it difficult to identify the rights ones. Yet without the ability to identify the right variables, the business is likely to measure and attend to the wrong things.

That’s where Key Influencer Analytics comes into play! This approach puts the power and clarity of targeted analytics in the hands of business users and support Citizen Data Scientist initiatives and the critical goals of Data Literacy across the organization.

The user can simply point to the dataset they want to analyze and the system will identify the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The system will auto-suggest relationships and present distribution and impact using the most appropriate visualization.

Users enjoy interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs. Key Influencer Analytics empowers every business user and allows them quickly select and target data to achieve results without the assistance of a data scientist, IT professional or analyst.

Key Influencer Analytics will:

  • Identify feature importance based on machine learning algorithms
  • Interpret insights in simple language
  • Measure statistics
  • Reveal influencers with impact on the target
  • Auto recommend influencers
  • Identify data relationships with interactive visualization

With these tools, business users can identify what matters most within the data, and how the various factors and relationships impact success, and they can understand the interdependence of variables and leverage auto-suggestions and machine learning functionality to gain insight. Users can also leverage the features within the tool to consider various combinations and the impact of those combinations on the success of the project, product or plan.

‘There are so many variables and components that can affect business success, and understanding the relationship among all the factors of success can seem like a guessing game.’

Find out how Key Influencer Analytics can benefit your business users and support Citizen Data Scientists, and how it can provide an advantage to your data scientists, business analysts and IT team members.

Original Post: Key Influencer Analytics Tells You How to Succeed!

Smarten Augmented Analytics Now Available on Mobile App!

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July 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. This native app has a seamless user interface for a great user experience (UX). Smarten Mobile app is available for iOS and Android. Installation is easy.

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Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

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June 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. CERT-IN, or the Indian Computer Emergency Response Team, is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. CERT-IN certification is provided by a CERT Empaneled Security Auditor following a detailed security audit to review all components of the organization network including websites, systems, applications, etc. After completion of the testing procedure, the certificate is provided to show that all requirements were met.

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What is Key Influencer Analytics? Do I Need it?

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May 6, 2022

Key Influencer Analytics: What Is It and Why is It Important?

No matter the size of your business or in what industry your market is involved, the concept of analytics is more important today than ever before. Businesses competing locally or on a global scale are all engaged in market competition and, in order to grow and succeed, every business must understand its competitors, its own products and services, and most importantly, its customers and what products they are buying. Businesses must build and monitor and manage processes and activities, all with the goal of being the most productive and responsive in the market

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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

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April 20, 2022

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. Sentiment Analysis enables businesses with easy-to-use tools that provide insight into what customers, stakeholders and others are thinking, thereby allowing business teams to improve products and services.

Continue reading “Smarten Announces Sentiment Analysis Capability Designed for Business Users!”