The Definitive Guide to Self-Service Data Preparation for Microsoft Power BI

| July 28, 2016

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Microsoft Power BI empowers analysts to create dashboards and reports that drive stronger analysis of insights. The key to deriving the full potential of those insights lies in the underlying data and how that data is prepared. Users can work with data within existing systems, and blend it with data from Excel, Microsoft Access, Microsoft SQL Server, cloud apps, social media apps.

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Rimilia provides intelligent, finance automation solutions that enable organisations to control cash flow and cash collection in real-time. The software solutions use sophisticated analytics and artificial intelligence (AI) to predict customer payment behaviour and easily match and reconcile payments, removing the uncertainty of cash collection.

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Deep Dive Digital-First Banks Harness The Power Of Data Analytics

Article | April 2, 2020

Data analytics has many purposes in the banking industry, ranging from improving cybersecurity to reducing customer churn. Every interaction from ATM withdrawals to loan applications — provides FIs with valuable data about customers’ financial lifestyles. Banks can even harness external regulatory, trading and social media engagement data, all of which can be processed and analyzed to benefit their operations.Financial data is useful in helping banks develop wide-reaching marketing campaigns, but social data is critical to developing offers for specific customers. Santa Rosa, California-based Redwood Credit Union, for example, found that social data was particularly important when offering auto loans. It initially extended preapproval for such loans every two years based solely on members’ credit scores and vehicle purchase histories, but it soon discovered that there was a much more reliable indicator and updated its preapproval frequency accordingly.

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Artificial Intelligence and Machine Learning on Agricultural Drones Market investigated in the latest research

Article | February 12, 2020

The agricultural drones market is projected to grow from $1.5 billion in 2018 to $6.2 billion in 2024, experiencing a 25.0% CAGR during 2019–2024 (forecast period). Crop spraying was the largest category in 2018, based on application, owing to the rising prevalence of fungal plant diseases caused by the Verticillium and Rhizoctonia fungi, which are spread by bollworm and flat armyworm.As these diseases destroy the yield, the agrarian community is deploying drones, also called unmanned aerial vehicles (UAV), to kill the pathogen.The rising adoption of such platforms for crop spraying is one of the key agricultural drones market trends. With UAVs, farmers can track their crops in distant locations in real time.Further, such vehicles ensure efficiency, by spraying only the required amount of liquid, which also checks wastage. For the purpose, multi-rotor UAVs are the most preferred choice, as they can hover over the spray zone.Currently, North America witnesses the heaviest utilization of drones for spraying insecticides and pesticides.The major driver for the agricultural drones market is the focus of farmers on enhancing the yield. Images to asses soil and field quality, crop growth and health, and hydric-stress areas are provided on a real-time basis by UAVs.

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COMBATING COVID-19 WITH THE HELP OF AI, ANALYTICS AND AUTOMATION

Article | April 9, 2020

Across the world, governments and health authorities are now exploring distinct ways to contain the spread of Covid-19 as the virus has already dispersed across 196 countries in a short time. According to a professor of epidemiology and biostatistics at George Washington University and SAS analytics manager for infectious diseases epidemiology and biostatistics, data, analytics, AI and other technology can play a significant role in helping identify, understand and assist in predicting disease spread and progression.In its response to the virus, China, where the first case of coronavirus reported in late December 2019, started utilizing its sturdy tech sector. The country has specifically deployed AI, data science, and automation technology to track, monitor and defeat the pandemic. Also, tech players in China, such as Alibaba, Baidu, Huawei, among others expedited their company’s healthcare initiatives in their contribution to combat Covid-19.

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How Data Analytics in The Hospitality Industry Can be Helpful?

Article | June 9, 2021

In recent years, we have seen more industries adopt data analytics as they realize how important it is. Even the hotel industry is not left behind in this. This is because the hospitality industry is data-rich. And the key to maintaining a competitive advantage has come down to ‘how hotels manage and analyze this data’. With the changes taking place in the hospitality industry, data analysis can help you gain meaningful insights that can redefine the way hotels conduct business.

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Spotlight

Rimilia

Rimilia provides intelligent, finance automation solutions that enable organisations to control cash flow and cash collection in real-time. The software solutions use sophisticated analytics and artificial intelligence (AI) to predict customer payment behaviour and easily match and reconcile payments, removing the uncertainty of cash collection.

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