Importance of Business Analytics & Business Intelligence in the big data world with complex data is advancing at a huge turn to a next level.
The Business Intelligence landscape is changing every industrial domain as the companies nowadays have become more data driven and the future of modern businesses. Business Intelligence has been the most important aspect to look into in many organizations’ structural and beneficial domains. Traditional data has been the top down approach to many businesses but as we look into the business running in today’s time the approach has completely changed and we are more focused and drilling up towards bottom up approach to understand the business analytics at the bottom and business intelligence on the top wherein company’s top hierarchy focusses more on the models and algorithm to transform the business approaches and solutions for maximizing profit and minimizing loss.
There’s a new concept which talks about embedded analytics which takes a new turn in the field of organizational analytics and its structure. A new field of analytics called “Embedded analytics” is the modern solution based technique which collects the data and displays within app based dashboards in the user’s or consumers present workspace.
The integration of analytical capabilities and its data visualization into a different software application which helps best with the real time tracking of the big data. Many organizations have started adopting this feature and take the maximum benefit to absorb the structural capacity of the organization and also enable many users and business processes to understand the different outlook usage in various domains.
Kodak has been using embedded analytics to understand its feature to help customers purchase Prinergy software to help clients and its center manage their digital printing systems which helps the organization to monitor its multi-functional space in the best possible efficient manner.
Benefits of Embedded Systems
Embedded systems makes it multi-dimensional capacity structure into enterprise software applications which can eventually bring huge benefits to the businesses.
1. Provide analytical capabilities to multi-level user workspace and forwarding to perform embedded system applications on a different scale.
2. It helps to code their own capabilities into the dashboards for example working on the discovery of big data and its automated insights with different visualization graphical outputs.
3. It helps the organization to upsell and gain revenue in the market. The analytics stream becomes the additional upstream for the businesses to transform and provide embedded reports for various clients.
4. Capturization of the market becomes the best deal for many organizations to upscale the deployment issues, set-backs, and delays. It provides the developer resources to the user to enhance the output capabilities and its different dashboarding reports with different styles. Modern databases such SQL, MySQL enable dashboards with multi user functionality to track down performances.
5. Mobile reporting is the key component for delivering the output from the dashboards which will be able to see machine performances, production rates and its downtime.
6. Machine Learning algorithms help in understanding the website applications to function. Various machine learning algorithms such as K-Means clustering, KNN Algorithm, Support vector machines to its higher automation expansion.
JIMS Kalkaji brings out academic and industry understanding of embedded analytics by conducting various workshops, seminars and guest lectures which gives a different horizon of business intelligence and business analytics outlook. JIMS Kalkaji delivers lectures on Python using different machine learning models which helps how embedded takes its place in the industrial aspect of big data capturization from different social media platforms such twitter, Instagram, facebook, Netflix etc. Visual workflows with dashboards functionality helps incorporate transactional capabilities for a high end analytical user interface.
Embedded analytics helps business intelligence and business analytics dashboard analysis and its reporting in a multi-dimensional approach to its day to day data insights to make it more productive. Embedded analytics is used in the GPS navigation, Google maps inside your car tracking real time tracking which provides deeper and integrating analytics for its applications and workspace for better user experience, user adoption etc. Embedded analytics has been used across industries and departmental functionalities in different domains such as financial services, marketing, supply chain, revenue departments, website tracking, retail, government, healthcare, technology etc.
JIMS, Kalkaji
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