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Aug 13, 2019 | By Fiona Villamor
In today’s technological landscape, businesses are more data-dependent, with vast pools of data at their disposal. What to do with it and how to make sense of it all is a challenge we attempt to solve with data science—starting with data discovery and ending with analytics that aid in critical business decision making. Now, there are numerous ways to extract meaning from data.
Jul 30, 2019 | By Fiona Villamor
The Internet of Medical Things (IoMT) is a connected system of smart medical devices and applications that have the capability to stream and process data wirelessly in the cloud. These connected devices remotely monitor patient vitals and activities, which can then be used by medical officers to administer proactive care with personalized treatment plans through stream analytics in healthcare.
Jul 16, 2019 | By Fiona Villamor
Organizations across various industries capitalize on business opportunities with the help of advanced analytics that work to capture and convert data into value-creating insights. Capturing value from data needs a disciplined focus on data quality management to ensure the organization only harnesses good data for analysis to inform decisions and drive positive outcomes. However, failure to manage data quality will impose unwanted costs, risks, and reputation damage.
Jul 2, 2019 | By Fiona Villamor
In the realm of healthcare, data and reports have always played a significant role. Medical charts, electronic health records, health surveys—doctors, nurses, pharmacists, and hospital personnel have long relied on these to base their diagnosis and make their decisions. But a fast-paced industry will need more than just the basic patient intelligence and visualizations to keep up with the growing patient base and scientific demands.
Jun 18, 2019 | By Fiona Villamor
What do data analysis and baking a cookie have in common? Well, aside from the fact that they both produce something valuable—one being insightful information and the other being a sweet treat—both also involve following a couple of steps before the final outcome. In the case of data analysis, there are three key tasks that need to be achieved before one can start analyzing data: data collection, data preparation, and data cleaning.
Sep 2, 2018 | By DucenIT
The All New Analance - Your end to end data solution partner was launched with the grand logo unveil and many more events to mark the celebration. Catch the product engineers being awarded for their contribution towards building this Next Generation tool.
This video unveils the concepts of Data Analysis, Models and Scoring in a Business Challenge. Watch the video to understand the basics of Analance Advanced Analytics.
This video shows how to create a model for classification by using Analance Advanced Analytics out of the box Machine Learning Algorithms and explore the insights it provides.