Data science is a field that has gained tremendous momentum over the past few years. With the rise of big data and the increasing use of technology in business, data science has become essential for solving complex problems and making data-driven decisions. In this blog post, we’ll explore the role of data science in solving
It’s Saturday morning in a typical suburban neighborhood when Marty’s new washing machine alerts her that her clothes are not fully dried, and her app, which claims to balance a myriad of daily tasks (events) using a simple smartphone, recommends cleaning her house exhaust system. Marty acts by cleaning it. The washing machine chimes in,
and not PowerCenter—for Your Modern, Cloud-Native Analytics Environment Digital transformation changes expectations: better service, faster delivery, with less cost. Businesses must transform to stay relevant, and data holds the answers. As popular as PowerCenter is, it is not optimized to meet modern cloud data integration requirements. An interim solution, such as re-pointing PowerCenter to the
With the first industrial revolution, optimizing and scaling processes became urgent. Since then, technology has gained the spotlight by increasing productivity, optimizing earnings, and helping companies make intelligent decisions. At the beginning of the 21st century, DevOps simplified the production lifecycle and added a new component, Big Data (Lwakatare et al., 2015). The enormous amounts
Analytics community governance is the concept that those who know the data most – those who create, analyze, and draw conclusions from the data – should be the ones creating governance policies around that data. Also known as bottom-up data governance, this practice ensures buy in from key stakeholders and end users while also creating
In this 2-part series we will break down the physical damage that multiple redundant data entries can have on your workforce, and ways to mitigate these risks for a more accurate and resilient data foundation and human workforce. Repetition often manifests through ‘band-aid’ style fixes, leaving the data owners to sacrifice any combination of the
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing Innovation: The “Now“ Modern Healthcare Data Architecture Part 5 of 5. The healthcare industry produces massive volumes of data every day—from claims and cost data to clinical trials, electronic medical records, and even online patient sentiments. on-the-fly. most professionals within the industry,
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing Creating a Healthcare Data Ecosystem – A Lesson from the Business World – Part 4 of 5. The healthcare industry has been playing IT catch-up, as the IT paradigm is already changing. Healthcare technology, by that I mean the IT that runs
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing The “Now” Healthcare Innovation Part 3 of 5. The business of healthcare is a mess. Observe the deep-rooted dual challenges of escalating costs coupled with deteriorating health – it’s an unsustainable paradox not only for the healthcare industry but for society in
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing Healthcare’s Data Revolution: It’s Complicated – Part 2 of 5. In my last blog post The Accelerating Importance of Data Analytics in Healthcare, I discussed how and why business intelligence is fast becoming a critical strategic driver for health care. In this
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