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Showing posts from October, 2019

Role of Analytics in Telecom Industry

The telecoms industry is one which not only sees a large customer base but a customer base whose needs and desires are constantly evolving and/or shifting. On top of this, telecom firms face cut-throat competition, making it a highly dynamic and challenging industry. In such a scenario, each decision taken becomes all the more crucial. It is therefore imperative for the firm to make decisions based on extensive data analytics to ensure the efficient and effective use of business resources. Although analytics can be instrumental in the telecom industry in many ways, some of the major applications include: ·Customer retention/improving customer loyalty:With fierce competition between the numerous players in this industry, customer retention is essential. Telecommunications are now much more than making calls and analytical tools can help firms to identify cross-selling opportunities and make impactful decisions to retain the customer. Analytics can also help in identifying trends in cust…

Applications of BI in Aviation Industry

It’s no secret that the airline industry faces many problems. Obviously, there are operational troubles like overbooking, high prices, pilot shortages, and baggage issues. But the list of the industry’s rough spots doesn’t end there. 
An ‘intelligence inertia’ towards machine learning outcomes will be the equivalent of the comet that wiped out the dinosaurs. Businesses must take time to understand its immense value to the business Outdated technologies plague aviation today, as well as cumbersome rules and complexities, infrastructure questionability and airport issues. Dirty, unhygienic planes with uncomfortable seats don’t help much, either. Further, over the past few decades, innovations in the industry have been mediocre, and customer service has been lousy. And perhaps more urgent than any other problem on aviation’s long laundry list are the well-known environmental issues that stem from air travel. Is there hope for the future of the aviation industry? Thanks to solutions and innov…

Life Sciences - In the era of Modern Data Analytics

Though data analytics have the potential to improve any company or industry, data analysis for life sciences is seldom discussed. We have solutions that predict benefits in the healthcare-payer system, evidence-based medicine, research and development, and public health — many life sciences areas that will improve via data analysis. Nowadays, in this modern data analysis era, the lag between collection and processing doesn’t have to exist any longer. Life science and healthcare organizations can put their data into instant, relevant use with artificial intelligence (AI) analytics platforms. Penetrate Through Billions of Rows of Data from Heterogeneous Data SourcesFew industries are as complex as the healthcare ecosystem. Myriad patient data and sources have the potential to present a robust picture, but historically it’s been difficult to access it all through one view. The scope of life sciences in business intelligence can be changed by integrating with various data sources and using ev…

Tabular Models Vs Multidimensional Data Models

Introducing the Tabular and Multidimensional model
The Tabular model, otherwise known as In-Memory Cubes are in-memory databases in SQL Server Analysis Services. Using state-of-the-art compression algorithms and multi-threaded query processing, the Xvelocity™ engine delivers fast access to the tabular model objects and data which boost the performance of data retrieval in reporting tools like Power BI.The Multidimensional model which is a traditional OLAP Cube organizes summary data into multidimensional structures, aggregations are stored in the multidimensional structure in cells at coordinates specified by the dimensions.
The ultimate goal of these two models is to provide a semantic layer on top of the data warehouse provided with high performance capabilities. Both data models have similar features and will give the users an impression that we can easily switch from one model to another, but both are two different entities, having different d…