Knowledgent is pleased to announce our latest infographic entitled “Financial Impact of Pharmacovigilance in the Drug Life Cycle”. Continue reading Infographic: Financial Impact of Pharmacovigilance in the Drug Life Cycle
As a follow up to our white paper, “Risk Scoring: Big Data and Advanced Analytics Further Evolve the Healthcare Model”, Knowledgent announces our latest infographic “Improve Healthcare Risk Scoring Analytics through Hadoop”. Continue reading Infographic: Improve Healthcare Risk Scoring Analytics Through Hadoop
Over the past two weeks, Knowledgent released the first, second, and third parts of our new series of infographics on Roboadvice. This week, we release the fourth and final infographic which is focused on the future of Roboadvice. Continue reading Fourth and Final Infographic in Roboadvice Series to Educate Wealth Management Firms
Over the past two weeks, Knowledgent released the first and second parts of our new series of infographics on Roboadvice. This week, we release part three which is focused on how Roboadvice platforms work. Continue reading Third Infographic in Roboadvice Series to Educate Wealth Management Firms
Last week, Knowledgent released the first part of our new series of infographics on Roboadvice. This week, we release part 2 which is focused on a demographic survey conducted by Columbia Business School Small Business Consulting Program. Continue reading Second Infographic in Roboadvice Series to Educate Wealth Management Firms
Knowledgent is excited to announce our new series of infographics on Roboadvice. There is a lot of buzz in the Wealth Management industry around this new technology, and a huge opportunity for companies to gain new market share. Continue reading Knowledgent Releases Roboadvice Infographic Series to Educate Wealth Management Firms
The Digital Advice Ecosystem is now publicly available.
Wondering if you should leverage a data lake? Trying to improve the state of data analytics in your organization?
As this month’s infographic depicts, one of the main advantages of the data lake is the acceleration of advanced analytics capabilities.
After you ingest your raw information, including structured, semi-structured, and unstructured data into the lake, you’re able to transform it for querying and analytics. Next, provide self-service analytics for your users so they can analyse the data they need using the tools of their choice. Your users can then collaborate on analytics, sharing their analytic models with the community.
View the infographic below:
Implement the four best practices in our agile analytics life cycle to achieve your most productive agile analytics environment.
What challenges are you facing with agile analytics in the data lake? Let us know in the comments!