data collection

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Protecting Your Data from Loss and Misuse

The term “data loss” conjures up visions of computer crashes, server meltdowns, files destroyed in a fire, and other “poof, they’re gone!” scenarios. A physical loss of the actual data, however, often happens through intentional or unintentional means, by people or processes, either within or outside of the organization. Common unintentional causes of data loss [...]

By |2019-10-25T01:01:09+00:00October 25th, 2019|Blog|0 Comments

Why Pharmaceuticals and Data Science Belong Together

When the rise of generics shortened the timeline for making proprietary sales of new drugs, pharma realized the need to transition from the core competency of research to marketing. The promotion of their products would be necessary to achieve the sought-after ROI in the future. Now, another shift is required to maintain competitiveness and be [...]

By |2019-10-14T04:38:49+00:00October 14th, 2019|Blog|0 Comments

4 Challenges Facing Market Research

Market research has always been, and will always be, a driving force in steering business decisions about critical aspects of company operations from overall organization to more specific elements like marketing campaigns, product innovation, and the expansion of a growing consumer base. As the business climate shifts, creating new “norms” and revealing new trends and [...]

By |2019-09-26T21:43:51+00:00September 26th, 2019|Blog|1 Comment

Big Data and Drug Discovery 

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore, American Management Consultant, and Author The first arenas to feel a transforming impact from the world of big data were marketing, sales, and service. The reach of data analytics then extended to industries [...]

By |2019-09-18T20:24:38+00:00September 18th, 2019|Blog|0 Comments

The WHAT, the WHY and the HOW of Data Blending

Let’s begin with the WHAT. In the simplest of terms, data blending takes data from multiple data sources and combines it into one useful, functioning dataset. Although not a new concept, the process is gaining momentum among analysts and analytic companies, as a straightforward method for achieving maximum value from multiple data sources. This type [...]

By |2019-09-12T20:22:06+00:00September 12th, 2019|Blog|0 Comments

Perfectionism: Friend or Foe?

Perfectionism is on the rise, according to multiple studies conducted over the last twenty-plus years. The “complex beast” as some have dubbed this particularism, has increased substantially among men and women who are afflicted equally. Wait. Is afflicted the correct term? Is perfectionism a negative trait? Psychological researchers define perfectionism as striving for flawlessness, holding excessively high [...]

By |2019-07-25T21:13:45+00:00July 25th, 2019|Blog|0 Comments

Winning the War on Coding Mistakes 

The good news: The advances in computer science technology have pioneered breakthroughs and processes and discoveries unimaginable only a decade ago. The bad news: Despite these incredible leaps forward, no one has discovered a formula to “error-proof” the coding that makes all these software-driven processes functional. “Software powers social networks, controls vast supply chains, gets [...]

By |2019-07-11T23:46:37+00:00July 11th, 2019|Blog|0 Comments

The Pros and Cons of Edge Analytics

As a trend to watch in 2019, Pam Baker notes, “You can expect edge computing to rise in adoption rates given the nature and growth of the Internet of Things and the mind-boggling demands for increased speeds in analytics. Data and analytics usage will thus lean more toward a distributed model rather than a centralized one.” [...]

By |2019-06-27T20:44:53+00:00June 27th, 2019|Blog|0 Comments

The Scoop on Edge Analytics

Edge analytics—the approach to data collection and analysis whereby automated analytical computations are performed at a sensor, network switch, peripheral node, or another connected device, rather than later, after sending the data to a centralized data store. The analysis takes place in near real-time at a non-central point, in a “decentralized” environment. “One way to [...]

By |2019-06-13T14:50:23+00:00June 13th, 2019|Blog|0 Comments
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