Web agencies have a very specific business model and that model is client-facing. There is no way for a web agency to compete, if it does not satisfy its customer needs and, equally importantly, if it does not anticipate what its customers want.
According to a survey of businesses regarding Digital Transformation (Dx), 40% of respondents reported improved operational efficiency, 35% reported that it was easier to meet changing customer expectations, 26% said Dx improved product quality, and 24% said Dx reduced product development costs.
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 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.
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.
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!
By some estimates, Node.js is used by at least 30 million websites and is the most-used framework. Today, the Node environment is popular among developers and is often recommended for cross-platform projects. Its open-source solution is compatible with Windows, Linux, Unix, macOS and more and the back-end JavaScript environs are suitable for complex projects.
When it comes to implementing a Digital Transformation (Dx) initiative, your IT team and senior executives probably don’t need convincing! Consider the recent IDC survey results about Dx:
The mobile application market can be confusing and, if your business is considering building an iOS, Android, or hybrid mobile application for internal business users or a software product for the consumer market, one of the first decisions you will have to make is whether to develop a native mobile application or a hybrid cross-platform mobile application that is suitable for both iOS and Android devices.
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.
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.
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!
Whether yours is a small or medium sized business (SME) or a large enterprise, your IT team is probably always overstretched. With ongoing maintenance and support, and small and large one-time projects, upgrades, and fixes, it is difficult (if not impossible) to take on other types of projects – projects that may drive the enterprise forward.
If you do it right, the Minimum Viable Product (MVP) process can provide numerous benefits to your start-up, Small or Medium business (SME) or other enterprise. Businesses can obtain feedback for product development and test theories of market success. MVP product development can help the business avoid developing a product that the market does not want or need, and it can help you identify competitive advantage and customer needs.
In this article, we will briefly review the steps to build a Minimum Viable Product (MVP) for software or application development. For a detailed review of each of the steps and phases, see our article, ‘MVP Software Development: Everything You Need To Know (The What, Why And How)’.
