Posts Tagged ‘analytics’

Staying competitive in 2020 with data and analytics.

10 Data and Analytics Trends in 2020

The importance of data and analytics will continue to grow in 2020 and there are ten trends your organization should take note of to stay competitive. In the video below, I’ve outlined these ten trends and what you can do to stay on top of them. 10 Data and Analytics Trends in 2020 [Video] Data […]

OAC cloud data

My Top 5 Favorite Features of Oracle Analytics Cloud

Oracle Analytics Cloud (OAC) is Oracle’s cloud-based platform for reporting, analytics, data exploration, and data visualization. It encompasses many capabilities and multiple products. As a result, it was hard to limit the post to just 5 features given that there is so much to choose from. That being said, the following are my top 5 […]

Driving Results with Business Goals, KPIs, and Analytics

In today’s overwhelmingly digital world, it is increasingly difficult for brands to hone in on website goals and objectives that truly drive their business forward. There can be additional challenges when the business’ website data is not accurately tracked or, in some cases, there is an overwhelming amount of data to filter through. Establishing analytics […]

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Using Predictive Analytics in a Smart Factory

So you want a smart factory? Something that drives greater value by combining business processes and physical machines. Update your manufacturing processes from legacy automation to a fully connected stream of data. The solution translates a specific business problem into a data problem that can be solved with predictive analytics. Many manufacturing systems operate at […]

Data Center Interior

Predictive Model Ensembles: Pros and Cons

Many recent machine learning challenges winners are predictive model ensembles. We have seen this in the news. Data science challenges are hosted on many platforms. Techniques included decision trees, regression, and neural networks. And, winning ensembles used these in concert. But, let’s understand the pros and cons of an ensemble approach. Pros of Model Ensembles […]

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Data Wrangling – Comparing Three Predictive Analytic Techniques

I spend a bit of time data wrangling. I try to pay mind to what the predictive analytic technique needs. Likewise, it does things on its own too. Then again, when interpreting results, I think on it again. Worse, when I try to compare models or create an ensemble, I really need to know. So, […]

Data Ethics – The Profound Impacts of New Technology

Data ethics and security have been around a long time – as long as data. Constantly evolving. But, continued tech advancement has made a profound impact. So, data security and data ethics is more important than ever. 1. Magnified Relevance Tech has enabled an exponential increase of data. We know this. The more data, the […]

Web API Using Azure

Machine Instruction 3.0: Express Your Desire

The evolution of expressing our machine instruction. Let’s get there together. Machine Instruction 1.0 In the past, we taught our computers what to do by expressing our desires with exact instruction. Classic computer programming that listed step by step instructions. We taught our machines how to behave. Arguably, even legacy artificial intelligence worked this way. Of course, this way of directing […]

agile backlog groom

OLAP and Hadoop: The 4 Differences You Should Know

OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. It has been around since 1970. Hadoop is a technology to perform massive computation on large data. Around since 2002. They can be used together but there are differences when choosing between using Hadoop/MapReduce data […]

Moving to an Agile “New” Big Data Paradigm

A few years ago, I was in the middle of getting together a conceptual architectural document for a project that required very agile methodologies based on microservices and cross- functional teams. One of the key portions of the architecture involved Hadoop and Spark for both data storage and data processing for the delivery of data […]

Solving a Complex Problem with a Fit-for-Purpose in PV Analytics

Analytics (i.e., using math and other systematic approaches to bring understanding to pharmacovigilance) data can have its own adverse event: a strong sensation of nausea if you haven’t had the opportunity to put into place a sensible, compliant solution that is the right fit for your organization. You can even have an on-demand solution, when […]

Connect with Perficient at Oracle OpenWorld

Connect with Perficient at Oracle OpenWorld #OOW19

Perficient is proud to be an exhibitor at Oracle OpenWorld, which is being held September 16-19 in San Francisco. Visit us at booth #401 to connect with subject matter experts and thought leaders and learn how we’ve leveraged our extensive expertise in Enterprise Performance Management (EPM), Enterprise Resource Planning (ERP), and Business Intelligence and Analytics (BI), […]

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