KPIs and BI Dashboards Must Be Interactive!

Key Performance Indicators and BI Tools to Support Your Business with Dynamic, Interactive Features!

There is no room in today’s business world for speculation or guesswork! Whether you are presenting to your Board of Directors, making a recommendation to your management team, or pitching a new product or idea, objective, provable results and information are required. In order to succeed in business, team members must have access to tools that allow them to establish and monitor key performance indicators (KPIs) with measurable results so that the business can adapt to change, alter and adjust activities and tasks that do not provide successful outcomes, and build on success using models that have historically proven to achieve results.

‘Take the time to select a business intelligence solution that will advance your business interests and provide clear insight and help you to measure results.’

According to recent research, businesses use one of the following methods to capture and measure key performance indicators (KPIs): Spreadsheets, Dashboards and Reporting Tools, BI and Analytical Software.

In fact, the option that is likely to provide the most success is one that will eliminate human error in data entry and calculation of formulae and metrics. That would seem to suggest that a BI and Analytical software tool is the best way to establish and manage KPIs. But the sheer volume and complexity of enterprise data, distributed across the organization can be overwhelming.

BI Tools Should Have Multidimensional KPIs & Slice and Dice

Here are some important considerations for your business that will help you to choose the right BI tools and KPI features:

  • By gathering and integrating data from disparate systems and selecting a business intelligence solution that incorporates augmented analytics suitable for business users, the business can create a foundation upon which to build its success.
  • When selecting a BI tool, be sure to look at the capabilities provided for managing key performance indicators. With the right approach, the enterprise can achieve measurable and clear insight into key business objectives, so you can set goals, develop strategies to achieve these goals and objectively evaluate your performance and progress.
  • Look for business intelligence software that allows business users with average technology skills to define KPIs using an easy-to-use, powerful expression engine and to set polarity, frequency and threshold levels using a browser-based interface.
  • Avoid static reporting that will frustrate business users and instead give them interactive tools that are dynamic and will allow them to explore, slice and dice and get to the heart of the matter. KPIs should not be limited to static monitoring.
  • Choose KPI Analytics that provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and non-performance.
  • Remember that KPI tools are designed to be used. If you want your users to adopt these tools and use them on a daily basis, you will need an easy way to measure results and to make adjustments to workflow, processes and activities and adjust KPIs as appropriate. This method of continuous monitoring and management ensures that users can resolve issues and capitalize on opportunities as they arise.

‘A BI and Analytical software tool is the best way to establish and manage KPIs.’

Your business management team understands the need for clear, objective metrics. Be sure you take the time to select a business intelligence solution that will advance your business interests and provide clear insight and help you to measure results, adapt to the changing market and create an environment of continuous improvement.

BI tools with Multidimensional Key Performance Indicator (KPIs) features should provide data analytics access for all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals. Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : BI Tools Should Have Multidimensional KPIs & Slice and Dice!

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Smarten Augmented Analytics Launches PMML Integration Capability!

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. PMML Integration capability allows data scientists and business users to create PMML Models in other platforms and use those models within the Smarten suite of products without the need for coding.

Smarten CEO, Kartik Patel says, ‘The addition of PMML integration capability enables faster roll-out and allows users to leverage the Smarten workflow for PMML predictive models, adding more flexibility and power to the Smarten suite of augmented analytics tools.’

With Smarten PMML Integration organizations can simplify, streamline, and integrate the analytical process, for swift, clear predictive analytics in a user-friendly environment designed for every business user.

Smarten Augmented Analytics Launches PMML Integration Capability

Smarten PMML Integration enables users to use models created in other familiar platforms like Python, R, Java, KNIME and other platforms, and integrate those models into the Smarten workflow within minutes, without complex coding, scripting, or programming.

‘Smarten PMML Integration enables a seamless process, designed for business users,’ says Patel. ‘Users can import PMML models and enjoy full integration and the full power of the Smarten feature set.’

The ready-to-use Smarten workflow guides the user from validation of the model to roll-out in the production environment. Smarten PMML integration provides simple language interpretation of models and enables predictions using single and multiple test records with user-friendly graphical user interface (GUI) or Web services API.

Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten. Models are interpreted in English and model details are logically organized. Enjoy the Smarten feature set and seamless workflow to perform predictive analytics with support of REST-API for third-party apps for prediction.

Contact the Smarten team to find out how Smarten PMML Integration can support your business needs and your business users with simple features and tools that are suitable for every team member.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationSentiment Analysis, and Clickless Analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.

Original Post : Smarten Augmented Analytics Launches PMML Integration Capability!

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Augmented Analytics for a leading Pharmaceuticals Company in Gujarat, India

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