What’s the Difference Between Traditional BI and Augmented Analytics?
Whether you are considering a first-time implementation of business intelligence (BI) software, or you wish to upgrade your existing installation to include new features and technology, the market for BI tools and augmented analytics solutions can be confusing. Adding to the confusion are the seemingly conflicting predictions of research firms.
Gartner Predicted that, ‘Transitioning from a data-driven to a decision-centric vision is crucial. Prioritizing urgent business decisions for modeling, aligning decision intelligence (DI) practices, and evaluating DI platforms are recommended steps.’
So, will data-driven reporting, simple metrics and alerts be enough to drive your business into the future? Should your organization select a traditional BI tools, a ‘modern data quality solution,’ or review and select multiple analytics solutions to meet varying requirements across the enterprise?
‘Every enterprise has different needs, a different culture and varying business user, IT and data scientist requirements. As you review the capabilities of Traditional BI and Augmented Analytics, analyze the suite of services and functionality and compare those to the needs of your users and your organization.’
To help you answer these questions, it is important to first understand the difference between traditional Business Intelligence and Augmented Analytics.
Traditional BI Tools
Traditional BI tools support power business users with self-serve report creation without the need for advanced technical skills, SQL skills or IT assistance. To improve accuracy and outcomes, enterprise business users who are working on day-to-day projects and activities need access to easy-to-use, intuitive tools that allow for swift, accurate action and decisions. With an integrated, mobile approach to BI tools, business users can leverage personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab & Tabular reports, GeoMaps and deep dive analytics and enjoy Social BI and collaboration.
Features include:
- Personalized Dashboard
- Multidimensional Key Performance Indicators (KPIs)
- Deep-Dive Analytics
- Social BI tools for data sharing
- Graphical Analysis and Cross-Tab Analytics for Intuitive reporting
- What-If Analysis to test pricing, budget and cost information
- GeoMap support with interactive maps
- Out-of-the-Box Mobile BI tools for access from anywhere
- Personalized alerts
- Real time and cached data management
- R Integration for all with no programming experience required
- Intuitive, informative reporting
- Publishing and delivery agent
Augmented Analytics Solutions
Augmented Analytics solutions are designed with intuitive, sophisticated features that take users beyond basic BI tools to enable swift gathering and analysis of trends, patterns, opportunities and challenges. Augmented Analytics solutions include self-serve data preparation, smart data visualization, assisted predictive modeling and natural language processing (NLP) foundational search analytics so users can ask a simple question and get a simple answer without coding or queries. This type of solution includes key influencer analytics, anomaly detection, alerts, clickless analytics and other tools designed to support the transformation of business users to Citizen Data Scientists and to increase data literacy in the enterprise.
Augmented analytics that is designed with sophisticated features for use by team members, IT, data scientists and others, provides many advanced features and enables improved data literacy and data democratization across the enterprise. With products and modules that include self-serve data preparation and ETL for business users, predictive analytics with auto-suggestions and recommendations to help users choose the right predictive modeling techniques, and smart data visualization with recommendations for the type of visualization best suited for a particular type of data, the users can make choices confidently and gain insight into issues without the programming or data science knowledge needed in decades past. Embedded BI with integration APIs allows users to leverage single sign-on within familiar software and perform analytics from within that solution.
Features Include:
- Sentiment Analysis
- Assisted Predictive Modeling
- Key Influencer Analysis
- Clickless Analytics with Natural Language Processing (NLP) and easy ‘Google-type’ searches and queries
- Auto Insights and toolsets that leverage machine learning
- Anomaly Monitoring and Alerts
Features are designed to support Citizen Data Scientists and organizational transformation for Data Literacy.
‘Should your organization select a traditional BI tools, a ‘modern data quality solution,’ or review and select multiple analytics solutions to meet varying requirements across the enterprise?’
Every enterprise has different needs, a different culture and varying business user, IT and data scientist requirements. As you review the capabilities of Traditional BI and Augmented Analytics, analyze the suite of services and functionality and compare those to the needs of your users and your organization.
You may wish to implement Augmented Analytics across the enterprise and elevate data literacy and the access and use of advanced analytics across your user organization, or you may wish to focus on specific metrics, data monitoring and reporting to address unique needs or targeted goals within the organization.
Some organizations choose to leverage both the Traditional BI and the Modern BI and Augmented Analytics approach to ensure that all user and enterprise needs are addressed and avoid the one-size-fits-all approach. By giving their users, IT team, executives and business analysts the tools they need, they can align their data gathering and analytics with their strategic goals and operational objectives.
The choice is yours!
Contact Us to discuss the unique needs of your organization and your users and find out more about Smarten Technology. Explore our free article: ‘Which BI Or Analytics Tool Is Best For My Business?’
Original Post : Should My Business Choose Traditional BI or Augmented Analytics?
