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

Augmented Analytics Must Provide Data Quality and Insight

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.

‘If you wish to improve your results and support business users with appropriate augmented analytics, your enterprise must choose a solution that provides analytics for all users within your organization, with a full suite of features and functionality to ensure that the data users gather is of a sustained data quality and that the results are clear and concise.’

The world-renowned technology research firm, Gartner, specifies that, in order to be useful and to provide the support business users need in diving into the world of analytics, augmented analytical components and technologies must include:

  • Machine Learning
  • Natural Language Processing
  • Automation

In order to truly support your goals and objectives AND your business users, we must go beyond automation, machine learning (ML) and natural language processing (NLP) to look at the tools and methods we can use to simplify and organize data extraction and analysis so that business users do not have to guess at results, and can clearly see the results and outcomes to make the best decisions.

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Give Users Assured Data Quality and Concise Data Insight

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. Here are just some of the factors and features you should include when considering a self-serve augmented analytics solution for your business user team. By providing business users with the right solution, you can ensure dependable data quality and offer your users valuable data insight that will support good business decisions.

  • Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models.
  • Data insights provides comprehensive data analysis and quality assurance features that empower business analysts and users to effortlessly identify errors, enhance data quality, and boost productivity. Users can harness the power of statistics and machine learning to uncover hidden insights and improve the overall quality of your data. Data insights provide actionable recommendations to address various types of data quality errors, enabling users to take prompt corrective actions for improved data integrity. effortlessly access a wide range of in-depth statistical measures such as skewness/kurtosis, word/phrase frequency, standard deviation, and more. These measures empower them with a deeper understanding of their data like never before.
  • Smart data visualization allows business users to view and analyze data to identify a problem and clarify a root cause and to make confident decisions. Business users can interact easily with data discovery tools and analytics software and build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.
  • Sentiment Analysis utilizes Natural Language Processing, text analytics and computational linguistics to identify and analyze sentiment, opinion and responses so your users can analyze what customers, suppliers and others are thinking and categorize feedback as positive, negative or neutral without scripting or coding.
  • Key Influencer Analytics puts the power and clarity of targeted analytics in the hands of business users to support Citizen Data Scientist initiatives. Simply, point to the dataset you want to analyze and the system will identify the target variable and influencers that matter achieving objective. Key Influencer Analytics employs machine learning and auto-recommendations to identify both the target and the influencers and allow users to interact with the tools to reveal and understand the impact of influencers and focus on variables that matter most to the target.
  • Insight Prescriptions goes beyond this process to recommend optimal actions that will help the business to achieve specific goals. By merging prediction with prescription, the enterprise can proactively identify challenges and opportunities, and drive more effective and strategic outcomes.

‘Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.’

If you wish to improve your results and support business users with appropriate augmented analytics, your enterprise must choose a solution that provides Analytics For All Users within your organization, with a Full Suite Of Features And Functionality to ensure that the data users gather is of a sustained data quality and that the results are clear and concise, so users without a data science background can understand the results and use those results to make decisions and recommendations.

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