Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.
When a business decides to implement a self-serve business intelligence (BI solution, it must ensure that the tools really are ‘self-serve’ and that they provide the flexibility and agility to give power users the ability to create and analyze, and business users with average technology skills the ability to quickly and easily understand the augmented analytics tools they now have access to, and to use those tools to the benefits of the team and the organization.
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.
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:
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.
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.
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.
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.
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.
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!
Gartner has predicted that ‘augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ Perhaps one of the most important aspects of user adoption is to provide the business intelligence tools at the place and time the user needs them. That means that a solution considered by the organization must be one that supports mobile devices.
‘The organization should look for a ‘design once, use anywhere’ approach that allows for maximum flexibility.’
In this article, we discuss how the organization can assess and choose the right Mobile BI solution to ensure optimal results and user adoption.
The augmented analytics, business intelligence solution that offers out-of-the-box mobile access for all types of mobile devices, tablets and desktops allows users to perform analytics, collaborate and report on the road, in the office, in hotels – in short, anywhere. With mobile BI support, the enterprise can provide a self-serve BI tool that encourages user adoption and supports data democratization and analytics for all team members without expensive customization or restrictive dashboards or reports. The Mobile BI solution that supports all devices and screen sizes allows users to access analytics using any device they leverage for work-related activities.
The enterprise must assess its business intelligence needs and plan for the future but not every evolutionary path is predictable. So, a Mobile BI tool that supports current and future data and user volume is an imperative. The organization should look for a ‘design once, use anywhere’ approach that allows for maximum flexibility. As devices change and evolve and users, locations and data changes, the organization can meet its needs without additional licensing or developmental costs.
If the augmented analytics solution and BI tools are comprised of comprehensive features to allow for easy-to-use dashboards, reporting, and graphs, charts and key performance indicators (KPIs), those features must be designed to seamlessly display and function on any type of device, any screen and any resolution, so users are not frustrated and access is simple and intuitive.
‘Perhaps one of the most important aspects of user adoption is to provide the business intelligence tools at the place and time the user needs them.’
Find out how Mobile BI And Augmented Analytics can support data democratization and improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Choose the Right Mobile BI App and Get Results!
By some estimates, a business will experience a three-month lag between the time a report is produced and the point at which the enterprise sees improvement or results from the changes the report recommends or predicts. If the reporting is unclear or unconvincing, the recommendations may never be implemented and the report will sit in a file on someone’s computer.
The days of data silos and exclusive data access are over. Data Scientists and business analysts are still an important component of the business and IT teams are still crucial to the success and stability of the organization BUT if you are thinking that these roles are still responsible for day-to-day analytics and delivering every bit of data analysis to the enterprise, your business strategy needs an upgrade!
A recent report revealed that by, 2028, the Augmented Analytics market is projected to reach USD 46.26 billion at a CAGR of 24.30%. The business intelligence solution market has evolved into augmented analytics and these solutions designs have progressed to support average business users with simple solutions that combine sophisticated analytical techniques and algorithms with easy navigation, reporting and insight.
Businesses that invest in business intelligence solutions expect to achieve results, become more competitive and improve productivity, but these businesses often fail to understand the need for Mobile BI. Mobile business intelligence should provide all the features and search capability a user needs to perform tasks and get information while on the road, working remotely or visiting a client, partner or regional office.
The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.
Don’t you hate it when someone blurts out a mysterious term at a business conference and you are left to decide whether to reveal your ignorance by asking what they are talking about, or simply nodding your head and smiling as if you understand and agree? I hate it when that happens.
