How Can Embedded BI Help ISV Partners Improve Revenue and Market Visibility?!
Recent research reveals that 67% of companies surveyed say time spent in their applications increased after they embedded analytics. Why do you suppose that is?
Tag: Augmented Analytics
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 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 Modeling, Smart Data Visualization, Self-Serve Data Preparation, Sentiment 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!
The client is a leading financial securities firm that offers online digital contacts, transparent trading practices and extends personalized customer service and support. Their services include brokerage, investment advisory, financial services and portfolio management in stock markets, debt markets as well as derivatives markets. The company is a respected corporate member of the National Stock Exchange (NSE) of India.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.
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.
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.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.
Ensure Business Users Will Adopt BI Tools with Self-Serve BI and Cross-Tab Analytics!
Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Establishing the strategy is one thing, but getting business users to adopt an analytics and information-based business workflow is quite another.
‘Modern business intelligence tools that are designed with self-serve features makes it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate.’
When it comes to teams, there are two things that are always true: 1) they learn a process and workflow and rarely want to change that familiar process and 2) they are always suspicious of ‘new’ initiatives and nearly always believe that these new initiatives will result in more work for them. There is a reason your team resists new processes and initiatives and that reason is simple. Usually, their fears are warranted!
So, if you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.
In this article, we focus on two of the primary components of a new business user analytics initiative.
Self-Serve BI Tools
Modern business intelligence tools that are designed with self-serve features like smart data visualization, self-serve data preparation and assisted predictive modeling make it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate. By adding value to the user’s everyday tasks and reducing the rework and issues they will confront, you can encourage your users to adopt analytics initiatives.
- Any promotion of analytics strategy must clearly illustrate business use cases and benefits of these tools.
- Support a more productive, streamlined environment that will allow them to do more with less and get the job done quickly.
- Ensure that business users can collaborate and share and grow their own expertise and visibility.
- Provide measurable results and information to make recommendations and support those recommendations.
Cross-Tab Analytics Capabilities
Those self-serve tools should include reporting and graphical tools that are clear and concise. Business users don’t want tools that produce complex reports filled with columns and mind-numbing numbers that do not help them reach a decision or illustrate an issue. Cross-tab analytics have been around for some time but the new, improved versions of this capability provides real insight into data in a way that is clear for every user. Sophisticated functionality is underpinned with easy-to-use tools so users can analyze the relationship between or among two or more variables and summarize data in rows and columns making it easy to understand the relationships and intersection of the various types of data. Understanding relationships in data is crucial to identifying the root cause of a problem or to targeting an issue or identifying a business opportunity. Your team members can work with multi-dimensional data and perform ad-hoc queries to gain a clear view of performance, dive into your data, and find and understand the data they need quickly and intuitively. Cross-tab analysis simplifies complex data operations, summary operations, time series functions, filters and custom column expressions and enables business users with simple tools they can really use.
‘If you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.’
Business Intelligence tools can 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 : Enable User Adoption with Self-Serve BI and Cross-Tab Analytics!
Why is Business Intelligence Democratization Important for My Business?
Gartner research reveals that, ‘80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’
If you are considering democratizing business intelligence gathering and analytics, you are not alone! Businesses today face more competition from local and global markets and every team member must work quickly and accurately in support of goals and objectives if the enterprise is to achieve its goals.
‘When senior executives and managers have reliable information and dependable recommendations and suggestions, they can improve performance and accuracy in forecasting, planning and demand.’
In this article, we discuss a few of the reasons a business should consider democratizing business intelligence and analytics within its team and how this type of initiative can be implemented to help your enterprise succeed.
Working Smarter
When you provide BI tools to your business users, you democratize data and begin to build a better understanding of the root cause of problems, the opportunities the business can leverage and the way forward to solving problems and creating business success. Team members can work smarter, with quick, concise access, and insight into data via self-serve solutions that streamline and simplify the typically complex analytical process and allow every team member to perform the analysis and, more importantly, to understand what the results are telling them.
Focusing on Core Responsibilities
When you democratize business intelligence and analytics with augmented analytics tools, IT team members, data scientists and business analysts can focus on strategic goals and on initiatives where data must be 100% accurate. Team members can use BI tools on a daily basis to test theories and gather and analyze information to support activities and tasks, collaborate with others and move forward, so EVERYONE can focus on their own roles and core responsibilities.
Supporting the Greater Good
When senior executives and managers have reliable information and dependable recommendations and suggestions, they can improve performance and accuracy in forecasting, planning and demand. Team leaders, business unit managers and others can realize long-term benefits and count on the fact that all team members are working with the right information, that information and analysis is based on current, integrated data and on measurable results. The organization can shift to a results-based environment where problems are analyzed and resolved and opportunities are leveraged to the greatest extent possible, so the enterprise can create an environment of continuous improvement.
Creating a Common Language
When all team members are using business intelligence to test theories and hypothesize, to solve problems and get to the root of a problem, to identify those all-important ‘nuggets’ of information that make a competitive difference, managers and executives can feel confident that the team is speaking a common language and that every team members knows how to find a problem, how to explain that problem and how to dependable recommendations to solve that problem.
‘Businesses should consider democratizing business intelligence and analytics within teams to help the enterprise succeed.’
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 : Should I Democratize Business Intelligence in My Business?
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.
