Mobile BI Tools for Citizen Data Scientists!

Mobile BI Tools Support Citizen Data Scientists and All Team Members With Access to Critical Data!

When a business takes on a Citizen Data Scientist initiative, it must provide the tools and techniques the business user will need to support the new role. Augmented Analytics is key – with features and tools that make it easy to integrate, find, analyze and share data across the enterprise.

Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’

If your organization is doing it right, the Citizen Data Scientist initiative will incorporate support to change the culture, to update the employee evaluation process to encourage the use of analytics and fact-based decision-making, and other factors that influence user adoption and enable the business to move forward with a team alignment.

But one thing many businesses fail to consider is the need for these tools outside the walls of the office environment. If the global pandemic taught us anything is that many employees were forced to work at home or in settings outside the typical office facility. Today, many companies have embraced this concept on a long-term basis, allowing their employees to work from home, or in remote group locations. But even if your business is situated in one more office buildings or store fronts, the chances are good that your team members spend a certain amount of time working outside the office, after hours, on weekends, etc.

‘Mobile BI tools provide the support for your Citizen Data Scientists, data scientists, business analysts, team members, executives, and managers so that every business user can access and analyze data, share, and collaborate.’

Teams today are asked to do more with less and, as work hours expand, and the expectations of businesses change, the team must adapt. Managers, executives, IT teams and others find themselves in situations where they must check the status of a project, approve a purchase or resource acquisition, communicate with a team and assess the need to make changes – the list goes on and on!

Mobile BI Supports Citizen Data Scientists and Data Literacy

Mobile BI tools provide the support for your Citizen Data Scientists, data scientists, business analysts, team members, executives, and managers so that every business user can access and analyze data, share, and collaborate and make decisions on the fly, in a staff meeting, in an airport or hotel, or at home.

To ensure that you choose the right tools for your Citizen Data Scientists, look for a Mobile Business Intelligence solution that offers the following features and functionality:

  • Native app, with seamless user interface for a great user experience (Ux). Available for iOS and Android
  • Extends the office environment. Allows swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server so security and privacy is ensured at all levels
  • Hosted anywhere within IT infrastructure – on premises, public or private cloud
  • Business Users have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available

‘One thing many businesses fail to consider is the need for BI tools outside the walls of the office environment.’

If you want to support your Citizen Data Scientists and every member of your business user team, explore Smarten Mobile Augmented Analytics And Mobile BI. Add powerful functionality and access for your business users with out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Understanding The Truth About Mobile BI.’

Original Post : Mobile BI Supports Citizen Data Scientists and Data Literacy!

Self-Serve KPIs Allow Teams to Manage and Adapt!

BI Tools with Self-Serve Multidimensional KPIs Enable Agility and Accuracy!

Gartner research reveals that, ‘data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’ When  businesses adopt and embrace business intelligence and augmented analytics, the expectation is that the enterprise will benefit by improving data literacy as well as productivity.

But if your business wants to make the most out of BI tools and augmented analytics, it is important to choose the right solution; one that is easy to use and will provide clear results – results business users can leverage to make decisions and to plan accurately. To understand the results and whether policies, processes and tasks are effective, your organization must establish metrics, and those metrics must also be clear.

‘Key Performance Indicators (KPIs) are crucial to this feature set, as they provide critical metrics that enable the business to discover and manage results objectively and to adapt and change quickly and effectively.’

A solution that provides easy-to-use, multidimensional key performance indicators (KPIs) will allow your team to establish metrics that are unique to your needs and to your industry and market and help the enterprise understand how the business measures up in the competitive market, how well the products and services are faring with customers and whether workflow and business processes are having the desired effect.

Multidimensional KPIs Provide Easy-to-Use, Objective Metrics

Benefits of Self-Serve, Multidimensional Key Performance Indicators (KPIs)

  • When the organization gives business users the tools to establish and manage KPIs, it can become more productive. There is no waiting for the IT team or a data scientist to produce important reports, so the team can be agile and flexible.
  • Interactive KPIs provide tools to gather, analyze and measure with breakdown and dynamic frequency and slice and dice so users can focus on critical metrics and gain true insight into results. Users can leverage a powerful expression engine to set polarity, frequency and threshold levels in a browser-based interface and go beyond static monitoring to change frequencies, and dimension breakdowns and gain an understanding of performance and issues.
  • Users can establish and monitor KPIs at the individual, team, department, division, and company level and KPIs are integrated with other features to further analyze trends. Multidimensional KPIs gives business users the opportunity to monitor and manage results against goals and objectives and change processes, tasks, and activities as and when change is required.

‘When your business chooses a BI tool, it is important to choose the right solution; one that is easy to use and will provide clear results – results business users can leverage to make decisions and to plan accurately.’

If your business wishes to improve data literacy and productivity by implementing or upgrading a Business Intelligence or Augmented Analytics solution, it is imperative that you review the available modules, tools and features to ensure that the solution provides easy-to-use, sophisticated functionality that is suitable for your business users. Key Performance Indicators (KPIs) are crucial to this feature set, as they provide critical metrics that enable the business to discover and manage results objectively and to adapt and change quickly and effectively.

Choose a  Business Intelligence Reporting Solution that include Multi-Dimensional Key Performance Indicators (KPIs). Provide business intelligence that your IT team can easily implement and support, and a solution that business users will want to adopt. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : Multidimensional KPIs Provide Easy-to-Use, Objective Metrics!

Self-Serve Cross-Tab BI Tools Reveal Issues and Possibilities!

Self-Serve BI Tools with Cross-Tab Reporting Improve Clarity and Results!

If you are considering a Business Intelligence solution or BI tool, or if you wish to upgrade your business intelligence and reporting tools, look for a solution that has self-serve cross tabulation, or cross-tab reporting. Cross-Tab reporting reveals the relationship between two factors or targets. This analytical tool can be used for side-by-side comparisons and to compare results for one or more data points, variables, or targets.

Did you know that, by some estimates, data-driven businesses are nearly 25% more likely to acquire customers? If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!

‘Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions.’

In this article, we discuss the value of self-serve BI tools with Cross-Tab capabilities and the benefits of this type of focus and insight.

Cross-Tab Reporting Gives Business Users Insight Into Data

Benefits of Self-Serve Cross Tabulation Reporting

Flexible for Business Use Cases

Cross-tab reporting allows for intuitive use by business users with average technical skills, and can be beneficial for all types of business functions and industries. In an educational setting, a university or school might use cross-tab reporting to analyze teacher or course evaluations, looking at the relationship between student satisfaction and the subject, the class time, class location and other factors. Businesses can analyze team and employee satisfaction and attrition by looking at job location, benefits, the results of exit interviews, available training, and support, etc. Cross-tab reporting is frequently used in market research to analyze the various factors that relate to product or service satisfaction, including product features and options, where and how the product is sold, the sales and marketing approach, etc. A retail store owner might use cross-tab data analysis to determine customer satisfaction by looking at demographics, the gender of the person buying the product, the price of the product in a particular region, etc.

Data Clarity

There are many ways to slice and dice data and many ways in which crucial information can hide inside that data. The self-serve cross-tab reporting approach allows business users to examine relationships among data points and factors, with more clarity and accuracy. This type of analysis provides more clarity and reveals results, interdependent relationships and factors that might otherwise be missed. Users can avoid confusion when working with data and analyze large datasets to reveal frequencies and percentages. With this information, the business can understand the ‘what if’ of the various factors and see how results would change if one factor or relationship is changed.

Fact-Based Decision-Making

Self-serve cross-tab reporting simplifies analytics and allows business users to spot trends and patterns and collaborate with other team members to adapt tasks and activities to resolve issues and/or capitalize on opportunities. Using cross tabulation reporting to understand the connection and relationship between two or more factors allows the business to make a decision, with confidence. Rather than guessing the reason for declining results, increased employee attrition or other problems, the enterprise can clearly see what factors (and the relationships among factors) are the cause of a problem and how to change those factors to get better results.

‘If you can give your team easy-to-use BI tools with self-serve cross-tab reporting, you can put the power of market and customer knowledge in their hands!’

Business Intelligence solutions with self-serve cross-tab reporting can provide an intuitive, clear method of data analysis for your business users by revealing relationships in a way that makes the results clear and helps the organization to make the best decisions. By giving your team members these tools, you can leverage domain and industry knowledge and combine data analytics in a day-to-day environment without the need for assistance from data scientists or the IT staff. Self-Serve Cross-Tab reporting produces clear results that are easy to understand and can be used in staff meetings and presentations to support recommendations and help the business become more agile.

Look for seamless Business Intelligence Reporting And Flexible Tools that include self-serve Cross-Tab reporting. Provide business intelligence that your IT team can easily implement and support, and a solution that business users will want to adopt. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : Cross-Tab Reporting Gives Business Users Insight Into Data!

Business Users Love Simple (Yet Sophisticated) BI Tools!

If You Want Business Users to Embrace BI Tools, You Need to Focus on Simplicity!

If your enterprise has not already adopted business intelligence tools, it is missing a crucial benefit in competitive positioning and accurate, dependable decision-making. If your organization has implemented BI tools, but you are falling short on user adoption success, return on investment (ROI) and total cost of ownership (TCO), it is probably because the business intelligence solution is not meant to support business users.

PC Magazine says that, as business users are asked to leverage BI tools, the enterprise must focus on simplicity to engender user adoption.

‘When your team can access BI tools that support the way they work and provide meaningful views and features to easily integrate with work and business processes, user adoption is easier and more immediate.’

To achieve your enterprise goals, ensure user adoption and get the most out of your investment, you must focus on two things: user-friendly features and function and sophisticated analytics.

BI Tool User Adoption Depends on Simplicity!

In this article, we list some of the considerations for business intelligence solution selection or product upgrade. This list is meant to help you assess your current solution, and/or review the capabilities of any BI tool you are considering.

Simplicity in Technology:

  • 100% browser-based solution
  • Intuitive interface
  • Mobile application that is suitable for iOS and Android
  • Simple, affordable licensing
  • Rapid implementation (roll out in minutes, not months)
  • Simple, multi-layered access and user rights management
  • Simple architecture

Simplicity of Use:

  • Ability to personalize dashboards
  • KPI Reporting
  • Easy-to-use reporting tools
  • Collaborative features
  • Social BI for sharing, ranking and commenting
  • Smart Data Visualization
  • Assisted Predictive Modeling
  • Self-Serve Data Preparation
  • Clickless analytics for easy searching and results

The business intelligence tools you select can and should include out-of-the-box, ready-to-use features that are designed to support your applications, your industry, and/or your business function. When your team can access BI tools that support the way they work and provide meaningful views and features to easily integrate with work and business processes, user adoption is easier and more immediate.

‘To achieve your enterprise goals, ensure user adoption and get the most out of your investment, you must focus on two things: user-friendly features and function and sophisticated analytics.’

Look for Ready-To-Use Tools that users will want to adopt. Provide business intelligence that your IT team can easily implement and support, with features your users will readily leverage. Choose  flexible, agile business intelligence solutions that can be used at all levels to collaborate, share data, and report and communicate with clarity. Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals.

Original Post : BI Tool User Adoption Depends on Simplicity!

Embedded BI and Augmented Analytics Support ISV Partner Clients!

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?

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 Share Broking & Securities Trading Company in India

Augmented Analytics for a leading Pharmaceuticals Company in Gujarat, India

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.

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.