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BI for Home and Community Care providers

“The home health care sector is expected to reach USD 349.8 Billion by 2020, up from USD 227.5 Billion in 2015.

In the home care industry, the shift to electronic medical records, digital office systems and cloud computing has

made capturing and compiling large amounts of data much easier. However, despite having large amounts of

data, home care providers are generally faced with the challenge of not knowing how to leverage the data

beyond basic reporting. Moreover, in the home and community care sector in particular, visit, operational

information, and clinical data is often stored in paper format -- or if is it digital the information resides siloed

databases. These system deficiencies make it difficult or near impossible to gain a holistic view of operations,

and eliminates the ability to “pivot” data which can lead to actionable insights for providers.

A well-orchestrated end-to-end software solution with integrated BI technology enables your home care

organization to produce meaningful reports and consequently actionable insights to improve business

processes, make more informed decisions, and provide more personalized customer experiences. Our guide, whcih can be provided on meeting us, will help you understand the role of BI in the home and community care sector and provide you with a few tips and tricks, to do’s and what not to do’s on how you can successfully implement a BI tool in your home care organization.

BI for Retail Industry

Retail is an industry that is being completely transformed from growing data volumes driven by changing customer demographics, demands, and expectations. At the same time, retailers have been challenged with outdated systems for processing and storing new and emerging data types, lack of in-house experience to handle this data, and the inability to monitor real-time analytics.

The Retail Data Opportunity

Savvy retailers, however, realize the benefit of capturing insight from big data — data from web browsing patterns,

social media, industry forecasts, existing customer records, and other sources — to respond to trends and to better

understand changing customer demands. Furthermore, retail analytics is about mastering multi-channel marketing. More buyer research and purchasing is being done online, customer demands and expectations are increasing, and consumers have access to more product, brand, and retailer information from third party sources such as social media.

With a rapidly changing landscape and more consumer buying power, retailers have no choice but to get ahead of big data in order to stay competitive. Zetasys has witnessed this with retail customers that have leveraged big data in order to drive more efficient operations, increased revenue, and customer loyalty. Distilling it down, three key themes have remained prevalent with Zetasys’s most successful retail customers:

  • omnichannel marketing to drive increased sales
  • customer loyalty for repeat revenue
  • operational efficiency to ensure a smooth customer experience

The guide explaning these themes can be provided on meeting us.


Large data centers worldwide are using rack-mountable power distribution units (PDUs) to control and monitor electrical power in the data center.These smart PDUs measure the power consumption of each device plugged into the socket, along with temperature, humidity and other environmental factors. However, most data centers are not optimizing these smart PDUs with a backend system for reading, storing and analyzing the valuable data. 

For elcipse Kura based solution guide, contact us at the earliest.