Remove Key Performance Indicator Remove KPI Remove Predictive Analytics Remove Predictive Modeling
article thumbnail

Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

article thumbnail

You Can Have Traditional BI and Augmented Analytics!

Smarten

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. Deep-Dive Analytics.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

article thumbnail

Do I Need Both BI Tools and Augmented Analytics?

Smarten

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. Key Performance Indicators (KPIs). Assisted Predictive Modeling.

article thumbnail

What to Consider When Selecting a BI Tool

Smarten

For many business intelligence users, BI dashboard tools will be just as important as the more advanced analytical tools like assisted predictive modeling. Traditional BI Tools include dashboards, key performance indicators (KPIs), reporting , graphs and charts.

article thumbnail

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

article thumbnail

Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Smarten

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.