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All Blog Posts Tagged 'analysis' (105)

5 major sensor data analytics challenges: deadly or curable?

A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an IoT system – needs to work properly and ‘harmonize’ with the others. But how do conductors make their orchestras work so nicely and sound so heavenly instead of creating a mismanaged cacophony? Obviously, there’s a lot of practice involved. But besides that, they definitely know what pitfalls they need to avoid. Which is why,…

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Added by imranali on July 7, 2018 at 4:30am — No Comments

Market Alignment - An Application of Systems Theory for Organizations

The main components of systems theory that readers might remember are “inputs,” “processes,” and “outputs.”  The part that tends to get neglected is “feedback mechanisms.”  These mechanisms tell the system the extent to which operations fit the environment.  If there is lack of fitness, there is stress.  One adaptive impulse is to make processes more complex and intelligent - i.e. sometimes described as the fight response.  Another impulse is to give up and run away - i.e. the flight…

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Added by Don Philip Faithful on June 23, 2018 at 9:00am — 1 Comment

Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks

TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural network in a compact and understandable way. The implications of the finding are profound and can accelerate the development of a wide range of applications from self-driving everything to GDPR.

Introduction

Neural networks have demonstrated a great…

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Added by Jonathan Symonds on June 21, 2018 at 9:30am — No Comments

A guide to manipulating, analyzing, and visualizing data in R

R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. 

Learn the fundamentals of data analysis in the second edition of Data Analysis with R, authored by data scientist…

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Added by Packt Publishing on May 8, 2018 at 10:30pm — No Comments

Reconciling Opposing Performance Metrics Using Operational Simulations

Sometimes when dealing with performance metrics, there are contradictory signals.  For instance, although both are desirable, it is common for efficiency and efficacy to be in opposition.  An agent in a call centre can handle lots of calls while at the same time getting few sales; this is especially true if the agent’s main objective is to do lots of calls.  This is a highly efficient person albeit unsuccessful in terms of expanding the business.  Conversely, another agent by spending a…

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Added by Don Philip Faithful on May 6, 2018 at 3:30am — No Comments

The Real Facebook Controversy

Cambridge Analytica’s wholesale scraping of Facebook user data is big news now, and people are “shocked” that personal data is being shared and traded on a massive scale on the internet. But the real issue with social media is not harm to individual users whose information was shared, but sophisticated and sometimes subtle mass manipulation of social and political behavior by bad actors, facilitated by deceit, fraud, and amplification of lies that spread easily through societal…

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Added by Peter Bruce on April 18, 2018 at 9:00am — 1 Comment

Technical Boundary Analysis

About a month ago, I posted a blog on “Technical Deconstruction.” I described this as a technique to break down aggregate data to distinguish between its contributing parts: these parts might contain unique characteristics compared to the aggregate.  For instance, I suggested that it can be helpful to break down data by workday - that is to say, maintaining separate data for each day of the week.  I said that the data could be further deconstructed perhaps by time period and employee: the…

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Added by Don Philip Faithful on April 14, 2018 at 8:00am — No Comments

Technical Deconstruction

The term “technical analysis” usually refers to the study of stock prices.  A technical analyst might use real-time or closing prices of stocks to predict future prices.  This is an interesting concept because of what is normally excluded from the analysis - namely, everything except prices.  Given that the approach doesn’t necessarily consider the health or profitability of the underlying companies, a purely technical approach seems to offer guidance that is disconnected from reality.  Yet…

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Added by Don Philip Faithful on March 17, 2018 at 3:00am — No Comments

When Aggregates Fail

In general, any expression of performance that applies to a department can, if the data system is configured properly, be stated in relation to individual workers.  For instance, if # of sales contracts / # of customer enquiries = success rate, the success rate can be given for the entire dealership and also for each sales agent in that dealership.  Due to the differences in performance between agents, it can be problematic to only make use of the aggregate.  Some agents might be blamed for…

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Added by Don Philip Faithful on February 25, 2018 at 7:30am — No Comments

Time Series Analysis and Forecasting: Novel Business Perspectives

Time series forecasting is hardly a new problem in data science and statistics. The term is self-explanatory and has been on business analysts’ agenda for decades now: The very first practices of time series analysis and forecasting trace back to the early 1920s.

The underlying idea of time series forecasting is to look at historical data from the time perspective, define the patterns, and yield short or long-term predictions on how –  considering the captured patterns – target…

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Added by Olexander Kolisnykov on February 14, 2018 at 1:58am — No Comments

Applied Ontology and the Drivers of Data Recognition

I shared my story in a few blogs about returning to university to do a graduate degree.  In my first class, I found myself being asked to define “ontology.”  It was a course on the Geography of Disability.  I returned to class the following week with some details.  I said that strangely enough, this is not a word that can be found in all of my dictionaries.  One dictionary listed “oncology,” which I believe is the study of cancerous tumours.  My Collins Cobuild dictionary says, “Ontology is…

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Added by Don Philip Faithful on February 11, 2018 at 7:30am — No Comments

Analysis on Google's Best Apps of 2017 List

STEP 1: BACKGROUND

As we are put 2017 to a close, "Best of 2017" lists are being released.  I had a look at Google's "Best Apps of 2017" list and I like their…

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Added by Laura Ellis on January 3, 2018 at 8:00am — 1 Comment

Judging Health Through Metrics of Conformance

I have written in the past about the difference between market demand and operational capacity - and how difficult it is to determine what exactly is being measured in relation to either.  Has the demand for a product declined, or is the organization simply less capable of satisfying it?  For example, the fact there are no bananas in the grocery store does not mean that there is no demand for bananas; but the absence of revenues from the sale of bananas might be regarded, rather erroneously,…

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Added by Don Philip Faithful on December 9, 2017 at 10:30am — No Comments

How Big Data can Help Community Banks

Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are looking at ways to make compliance procedures more effective and accurate. Big Data in banking is slowly gaining momentum and becoming an inevitable necessity across the banking industry. As…

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Added by Deena Zaidi on November 2, 2017 at 11:00am — No Comments

Trend Analysis of Fragmented Time Series: Hypothesis Testing Based Adaptive Spline Filtering Method

Missing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or zero values or with linear trends can severely degrade the quality of the trend analysis, which significantly reduces the reliability of the trend analysis. …

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Added by Ted on October 31, 2017 at 7:30pm — No Comments

Currency Data To Support My Prediction

Download Data : currency_data.csv

The…

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Added by Jeefri A. Moka on October 5, 2017 at 8:01pm — No Comments

Book: Text Analytics with Python

Text Analytics with Python -- A Practical Real-World Approach to Gaining Actionable Insights from your Data

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" published by Apress\Springer, is a book packed with 385 pages of useful information based on techniques, algorithms,…

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Added by Dipanjan Sarkar on July 14, 2017 at 4:00am — No Comments

Core Banking Solutions Market Analytical Insights and Foresight to 2023

Market Highlights

On the basis of regional analysis, the market is segmented into North America, Europe, Asia-Pacific and Rest of the World. North America region is generating highest market share in Core Banking Solutions Market owing to higher technology implementation. The implementation of core banking solution software by both small and medium enterprises is increasing rapidly. In US region, the implementation of core banking solution software in BFSI sector accounted for…

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Added by Sagar kadam on June 26, 2017 at 11:30pm — No Comments

Using Selection to Find Superman - More on Demand and Capacity

During my childhood, our school librarian said that I was invited to attend a conference of writers.  I felt honoured and privileged.  I asked what the writers intended to ask me.  She smiled and said that actually I would be asking the writers questions.  Not quite sure why I would ask these people anything and why their thoughts would matter, I nodded anyways and at some point attended the most boring event imaginable for a young child.  I thought I had died, I really did.  I sat there…

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Added by Don Philip Faithful on May 7, 2017 at 6:00am — No Comments

Will Workers in Obsolete Jobs Find Refuge in Data Analysis?

Like it or not, data-driven artificial intelligence algorithms and other high-tech robotic applications are coming to fill our jobs. An analysis by PwC estimated that up to 38 percent of current American jobs could be taken over by machines within the next 15 years.

Even white-collar jobs aren’t safe, since algorithms are capable of governing sophisticated tasks for machines in ways that previously were unthinkable, such as writing or distributing pharmaceuticals. The transition has…

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Added by Larry Alton on April 2, 2017 at 6:30am — 3 Comments

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