What Are Augmented Analytics Tools?
According to Gartner, augmented analytics is the use of enabling technologies, such as machine learning and artificial intelligence (AI), to streamline data preparation, generate insights, and give business users analytics autonomy, regardless of their IT or data science expertise.
An augmented analytics platform can analyze data continuously, monitoring and analyzing data. These tools can alert users automatically if they discover anomalies; there is no need to rely on an analyst to find patterns and changes. They also automatically determine the best visualization for analytics insights, saving even more time for the data team and users waiting for information.
The best augmented analytics for life sciences also makes it simple for business users to query the platform, save and share insights, and customize their dashboards for easy access to the information they use routinely.
Benefits of Augmented Analytics Tools
- Reduced Bias
Augmented analytics tools can run analyses using a broader range of data sources and larger volumes of data. It eliminates the need for analysts to make assumptions about which data to use to find answers and reduces the chances that important information is excluded from analysis.
- Decrease in Time to Insights
Traditional data analytics processes can take weeks or longer. Life sciences team members make requests, and the data team builds a dashboard to provide the information, runs the analysis, and prepares the visualization. Augmented analytics replaces the dashboard as a unit of work with a question. Natural language processing (NLP) enables users to query the platform conversationally and receive an easy-to-understand answer in seconds.
- Predictive Insights and Root Cause Analysis
Augmented analytics is much more than an advanced search engine. This technology uses deep learning to provide predictive analytics for forecasting and projections. It can also provide information to determine the causes of changes in sales, plan approvals, or declines in adherence.
- Personalized Insights
Tools for augmented analytics learn users’ behaviors and preferences over time. Therefore, the platform automatically provides insights based on each user’s role and geographic region, market, brand, or other relevant factors.
WhizAI: The Only Augmented Analytics Tool Developed Specifically for Life Sciences
Although augmented analytics tools offer organizations a range of benefits, life sciences and healthcare organizations need platforms designed for their industry to see maximum ROI. WhizAI is tailored to these organizations’ unique needs.
WhizAI’s models are pre-trained with life sciences and healthcare data, which allows them to deploy more quickly, typically in a few weeks versus months it takes for other platforms. Additionally, WhizAI enables users to ask questions in natural language, like speaking to a colleague. In response, the platform provides accurate, contextual insights, immediately encouraging high user adoption.
WhizAI’s microservices architecture enables it to scale with increasing life sciences data volumes and deploy new services without interrupting performance. Life sciences and healthcare organizations are never limited in the number of data sources or the data volumes they can use in analysis.
WhizAI is designed to decrease the dependence on an organization’s IT and data teams. It not only allows business users to ask questions and receive the insights they need without intervention. But it also allows users to configure their dashboards, use Pinboards to save insights and share insights with colleagues in a no-code environment.
Anytime, Anywhere Access
WhizAI understands that life sciences and healthcare team members are often on the move and need insights for data-driven decision-making wherever they’re working. WhizAI allows users to access the platform from within their commonly used applications, such as Veeva, Salesforce, and Microsoft Teams, and from a PC, laptop, tablet, or mobile device.
Life sciences and healthcare enterprises receive an enterprise-ready platform with strong security and access control and data governance capabilities with administrative control over data to the column, row, or field. The platform also offers global enterprises multilanguage support so employees can interact with the augmented analytics tool in their preferred languages.
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