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?
Year: 2023
Combine Laravel and PHP and Hire PHP Programmers for Your Web App!
Laravel is a PHP web application framework. According to recent surveys, Laravel represents 9.45% of the web frameworks reported in use by developers. It is growing in popularity among PHP developers. The Laravel product is designed specifically to simplify common development tasks for web projects, e.g., routing, authentication, sessions, caching, etc.
Ramp Up Your Results with a Software Development Partnership for Your SME!
According to a Partnerize study, 54% of companies say that partnerships drive more than 20% of total company revenue. If you are a small or medium sized enterprise, and you have not already recognized the value of a well-conceived partnership, you are missing out!
Select the Right BI Tools and Succeed with Data Democratization!
Do you know what Data Democratization is? It’s simple, really. Data Democratization is the purposeful approach to cascading and integrating data into the daily workflow of business users to provide access to crucial information and the tools to analyze and understand that data and use it to make confident decisions. Instead of holding data in silos that are only accessible to IT, business analysts, data scientists and management, the enterprise recognizes the value of providing team members with the right information to do their job and contribute to the bottom line.
‘To succeed in data democratization, you need BI tools that provide data analytics access for all business users.’
Gartner predicts that, ‘75% of organizations will…deploy…multiple data hubs to drive mission-critical data and analytics sharing and governance.’ The key here is the ‘analytics sharing’ piece of the statement!
In order to fulfill the promise of this approach, your enterprise must employ business intelligence solutions that are easy-to-use and designed for business users, without advanced technical skills or advanced analytical skills. These tools allow your team members to engage in analytics and enjoy data democratization without the frustration of leveraging solutions designed for data scientists or IT staff.
Here are a few considerations to give you an idea of the kinds of things you will need to support your data democratization initiative. These factors are crucial to success, as they ensure that your users can and will adopt the BI tools you select to enjoy the new data access you have given them. Without these, you run the risk of spending the time and money to provide access and achieving poor return on investment (ROI) because of poor user adoption.
Embedded BI – By embedding business intelligence into the enterprise apps your users love, you can encourage data democratization and analytics in a single sign-on environment. Users do not have to sign in to multiple systems or move data around. They can start with the data within the ERP, HR, Finance or other system and perform analysis from within that system. Make it as easy as you can, and users will be happy!
Mobile BI – Don’t make your users sit at their desk in an office to use the BI tools. Make these tools accessible from the office and on the road, at home and in a client location or hotel. If you want your users to see the value in data democratization and you want to achieve your goals for this initiative, you must give your users the tools they need WHEN THEY NEED those tools.
Business Intelligence with Seamless User Access and Security – Data democratization does NOT mean throwing caution to the wind. Data must still be secured and accessible to users for the things they need to see, but not for the things they are not eligible to see and not in an environment where data security and privacy are at risk. To democratize your data, you must also ensure data governance, security and access standards and requirements are met.
Natural Language Processing – Make the augmented analytics and BI tools intuitive. Democratized data is no good if the users need an advanced degree to access the data. Natural Language Processing (NLP) allows your users to access data in a familiar way, with a Google-type search interface where they can ask questions using regular language and receive answers in a way that is easy to understand. If they can search, query and find information easily, they are more likely to a) use the system and b) understand the information they produce and make the right decisions.
Tools Designed Specifically for Business Users – The solution you select should be designed for business users, not for data scientists, business analysts, IT or statisticians. While you want the data democratization initiative to expand the skills and knowledge of your team, you do not want them to need advanced skills or training. Select a system that can be adopted and used within minutes – not months. Users want sophisticated functionality in an easy-to-use environment. That is important!
‘If you want your data democratization initiative to succeed, select tools that allow your team members to engage in analytics without the frustration of leveraging solutions designed for data scientists or IT staff.’
There are other considerations but, if you address the ones we have highlighted in this article, you will be well on your way to achieving your data democratization goals and ensuring that your users adopt the solution you select.
BI Tools should provide data analytics access for all business users. Simple, Self-Serve BI Tools can provide your business with the foundation to achieve your data democratization and user adoption goals. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Data Democratization Can Succeed with the Right BI Tools!
What Technologies Should I Include in My Digital Transformation (Dx) Strategy?
Deloitte reports that ‘The implementation of digital technologies can help accelerate progress towards enterprise goals such as financial returns, workforce diversity, and environmental targets by 22%.’
Key Performance Indicators and BI Tools to Support Your Business with Dynamic, Interactive Features!
There is no room in today’s business world for speculation or guesswork! Whether you are presenting to your Board of Directors, making a recommendation to your management team, or pitching a new product or idea, objective, provable results and information are required. In order to succeed in business, team members must have access to tools that allow them to establish and monitor key performance indicators (KPIs) with measurable results so that the business can adapt to change, alter and adjust activities and tasks that do not provide successful outcomes, and build on success using models that have historically proven to achieve results.
‘Take the time to select a business intelligence solution that will advance your business interests and provide clear insight and help you to measure results.’
According to recent research, businesses use one of the following methods to capture and measure key performance indicators (KPIs): Spreadsheets, Dashboards and Reporting Tools, BI and Analytical Software.
In fact, the option that is likely to provide the most success is one that will eliminate human error in data entry and calculation of formulae and metrics. That would seem to suggest that a BI and Analytical software tool is the best way to establish and manage KPIs. But the sheer volume and complexity of enterprise data, distributed across the organization can be overwhelming.
Here are some important considerations for your business that will help you to choose the right BI tools and KPI features:
- By gathering and integrating data from disparate systems and selecting a business intelligence solution that incorporates augmented analytics suitable for business users, the business can create a foundation upon which to build its success.
- When selecting a BI tool, be sure to look at the capabilities provided for managing key performance indicators. With the right approach, the enterprise can achieve measurable and clear insight into key business objectives, so you can set goals, develop strategies to achieve these goals and objectively evaluate your performance and progress.
- Look for business intelligence software that allows business users with average technology skills to define KPIs using an easy-to-use, powerful expression engine and to set polarity, frequency and threshold levels using a browser-based interface.
- Avoid static reporting that will frustrate business users and instead give them interactive tools that are dynamic and will allow them to explore, slice and dice and get to the heart of the matter. KPIs should not be limited to static monitoring.
- Choose KPI Analytics that provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and non-performance.
- Remember that KPI tools are designed to be used. If you want your users to adopt these tools and use them on a daily basis, you will need an easy way to measure results and to make adjustments to workflow, processes and activities and adjust KPIs as appropriate. This method of continuous monitoring and management ensures that users can resolve issues and capitalize on opportunities as they arise.
‘A BI and Analytical software tool is the best way to establish and manage KPIs.’
Your business management team understands the need for clear, objective metrics. Be sure you take the time to select a business intelligence solution that will advance your business interests and provide clear insight and help you to measure results, adapt to the changing market and create an environment of continuous improvement.
BI tools with Multidimensional Key Performance Indicator (KPIs) features should provide data analytics access for all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : BI Tools Should Have Multidimensional KPIs & Slice and Dice!
When You Hire Python Programmers You Can Turn Your Project or Idea Into Reality!
Studies reveal that Python is now the most popular programming language, ‘Worldwide, Python is the most popular language, growing more than 17% over a five-year period.’
In assessing the enterprise landscape and planning for a Digital Transformation (Dx) transition project, every organization will certainly focus on technology and infrastructure. Technology is, after all, inherent in the very nature of a Dx discussion. Infuture Institute recently published a study that describes the critical factors in a Digital Transformation (Dx), and one of the most provocative insights states that, ‘What we need is…the change of attitude in the approach to digital transformation – from a technological approach to the humanistic approach (human over technology, not technology over human), i.e., focus on the employees within the organization and the needs and expectations of customers and consumers.’
Partner with the Right IT Consultant and Your Software Business Will Succeed!
According to Statista, annual global spending on enterprise software is estimated to be $755 billion USD dollars, with global consumer spending in mobile apps estimated to be $33 billion USD. For a business that develops and sells software products and services, this potential presents an exciting opportunity, but that potential can also be daunting.
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!
