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!

Case Study : Augmented Analytics for a leading Pharmaceuticals Company in Gujarat, India

Augmented Analytics for a leading Pharmaceuticals Company in Gujarat, India

The client is a leading publicly listed Pharmaceuticals Company with a large shareholder base. The company manufactures all major dosage forms such as Tablets, Capsules, Injectables, Syrups, Ointments, etc.

Case Study : Augmented Analytics for a leading Construction & Infrastructure Development Company in India

Augmented Analytics for a leading Construction & Infrastructure Development Company in India

Founded in 1982 as a construction company, client has successfully positioned itself amongst the top 10 construction & infrastructure management companies in India. Client has to its credit many prestigious projects in the Industrial, Power, Institutional & Infrastructure sectors across India.

BI Tools Provide Benefits and Challenges!

Understand the Benefits and the Challenges of a Business Intelligence Strategy!

If you follow industry and business publications, you know that analytics are taking the lead in business strategy. Gartner states that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ If your enterprise is implementing a business intelligence and analytics strategy, it is important to plan carefully and to understand the real benefits as well as the challenges of choosing the right BI tools and deploying these tools to users in a way that will ensure optimal user adoption and leverage of analytics to achieve the results you need.

‘Your business should carefully assess requirements and plan for expected user adoption by selecting a BI tool that will offer the features, ease-of-use and functionality your team members need.’

In this article, we provide examples of the various benefits of BI tools for specific business functions and some of the technology and user challenges you will face as you consider your options and plan for implementation.

Address the Challenges and Achieve the Benefits of BI Tools

No matter the business function, there are benefits to implementing a business intelligence strategy that will deploy these tools to your team members. Here are some examples:

Benefits

Finance – Your organization will be more efficient and profitable, with Ready-to-Use Dashboards, Analysis, and KPIs designed especially for the Finance domain. This business intelligence solution includes interactive Dashboards that allow users to perform intuitive, easy analysis of key metrics including Profitability, Accounts Receivable, Accounts Payables, Cash Flow Analysis, Past Due Invoices, Balance Sheets, Income Statements and more!

Inventory – Inventory business function allows users to accurately plan and optimize inventory. Interactive Dashboards track item movement, compare sales to closing stock, and monitor warehouse stock and value, and answer critical questions regarding stock turnover ratio, seasonal buying, back-order assessment and safety stock to prevent lost sales. Users can analyze inventory levels to effectively manage stock based on the buying behavior of customers.

Purchasing and Procurement – Allows users to view and analyze spending details, analyze procurement data, drill through data to analyze issues, measure performance, identify savings opportunities, and track supplier performance. Identify reliable trading partners, analyze supplier cost, perform purchase rate comparisons, reveal trends, identify top/bottom vendors, and achieve timely insight into spending patterns and trends across all departments.

Production – Quantify and visualize data at the operational level to make fact-based decisions. Analyze Output, Reduce Labor Costs, Maintain Inventory Levels, Optimize Equipment Performance, Monitor Rejection Ratios and Downtime, and take action before problems arise to mitigate risk, and capitalize on opportunities. Publish automated reports to monitor and manage plant performance and provide management with quality metrics and relevant data.

These are just a few examples of how business intelligence can be used within a business function, department or business unit to benefit business users and to help the organization make fact-based decisions, spot trends and patterns and opportunities, and identify the root cause of problems.

If you want to take advantage of all of these benefits and ensure success of your business intelligence initiative, your business should carefully assess requirements and plan for expected user adoption by selecting a BI tool that will offer the features, ease-of-use and functionality your team members need.

Technology and User Challenges

Social BI

Your team members are also consumers and outside of the office they are used to a collaborate and social experience. By engaging in Social BI, your team can champion data sharing, collaborate on creative ways to analyze data and make quick work of data analytics, with tools that allow the user to ‘like’, ‘share’ and leverage other social tools and networking techniques.

Mobile BI

Not every BI tool provides real mobile business intelligence to accommodate every type of device, screen size and resolution. Choose a solution that has a Responsive and Adaptive UI engine, so you can roll out BI tools on any Desktop, Tablet or Smartphone without any device specific development. ‘Design once, Use anywhere’ concept in true sense.

Personalized Dashboards

Business users will not adopt a solution that limits them to predefined dashboards. Each user has a need to see and use data in a different way. Be sure to select a solution that allows your users to work in a way that is meaningful to them.

Interactive, NOT Restrictive

Choose a solution that will allow users to leverage deep dive analytics. There is no way an organization can anticipate every question or type of analytics a business user will need to incorporate into decision-making. Provide truly interactive tools that will assure user adoption and make your organization more agile.

Ease-of-Use

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization with Self-Serve Data Preparation, Smart Data Visualization and Plug n’ Play Predictive analysis that can drastically reduce the time and cost of analysis and experimentation.

‘No matter the business function, there are benefits to implementing a business intelligence strategy that will deploy these tools to your team members.’

Ready-To-Use Business Intelligence tools can support data democratization and improve your business results. If your business understands the challenges of implementing a business intelligence solution and adequately plans for implementation and user adoption, it can leverage the benefits of these tools and solutions and ensure success. Let us help you achieve your vision and improve productivity and insight across the organization.

Original Post : Address the Challenges and Achieve the Benefits of BI Tools!

Smarten Augmented Analytics Now Available on Mobile App!

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. This native app has a seamless user interface for a great user experience (UX). Smarten Mobile app is available for iOS and Android. Installation is easy.

Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. CERT-IN, or the Indian Computer Emergency Response Team, is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. CERT-IN certification is provided by a CERT Empaneled Security Auditor following a detailed security audit to review all components of the organization network including websites, systems, applications, etc. After completion of the testing procedure, the certificate is provided to show that all requirements were met.

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

This article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. Sentiment Analysis enables businesses with easy-to-use tools that provide insight into what customers, stakeholders and others are thinking, thereby allowing business teams to improve products and services.