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All Blog Posts Tagged 'management' (96)

Why CEOs need to be Deeply Involved in a Data Quality Project

What’s the #1 enemy to profitable machine learning, AI & data-driven initiatives?

Dirty data.

And who has had data on their agenda for a decade but are still not deeply involved in data projects?

The CEO.

In a 2019 Deloitte survey, 63% of…

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Added by Farah Kim on May 6, 2020 at 4:00am — No Comments

How Technology tops HR trends in 2020

The world of today is digital! Every business, every person across the world has felt the impact of a digital transformation, and the field of HR has been no exception to this rule.

The theme of HR technology trends of late has been the force of digitalization: digitally-forward initiatives, strategies, and tools are taking the place of traditional practices of HR…

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Added by Yoey Thamas on March 19, 2020 at 11:36pm — No Comments

Best Practices in Data Migration & Cleansing

In developing global businesses practices, many corporate houses are adapting better technological solutions and systems. This mandates smooth data migration from older to newer systems while maintaining data integrity. Many organizations face tough time in migration initiatives due to complicated and sluggish procedures owing to IT issues. 

Most of the data migration efforts are challenging as well as time consuming due to inherent nature of such an undertaking. When moving from one…

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Added by Shweta Bedi on March 16, 2020 at 1:32am — No Comments

How Can Companies Get The Most Value Out Of Their Data

Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets.

Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and…

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Added by Fahad Zaidi on January 19, 2020 at 6:00am — No Comments

Sports Telemetry in Real-Time

The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…

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Added by Valeria on December 13, 2019 at 1:00am — 1 Comment

How Data Science can transform the face, body & functioning of Logistics

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…

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Added by Bhushan Patil on July 21, 2019 at 8:37pm — No Comments

Why is Data Curation Important for Big Data Industry

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

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Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments

Deep Learning picking momentum in option pricing and financial risk management

Deep Learning is picking momentum in Quantitative Finance, outside the obvious application to the prediction of asset prices (where to my knowledge it is not particularly effective) and spreading into the more serious application area of option pricing and risk management.

These two recent papers clearly demonstrate the benefits of DL as a pricing technology alternative to the classical FDM and Monte-Carlo in certain contexts:…

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Added by Antoine Savine on January 11, 2019 at 5:30am — No Comments

The Fourth Way to Practice Data Science – Purpose Built Analytic Modules

Summary:  Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.

 

It appears that data science has exited its age of exploration and entered into its…

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Added by William Vorhies on September 18, 2018 at 9:07am — 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

Fugues of Operational Market Alignment

In the “Ecology of Metrics,” I wrote about “alignment” being a type of metric; alignment can measure the extent to which an organization’s supply or capacity is matched against the demands or needs of the market.  For instance, in a call centre, it would be highly desirable to have agents available to respond to calls at “precisely” the same time that clients are making calls.  If alignment is off even by only 15 to 30 seconds, impatient clients might hang up and never call again.  Similarly…

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Added by Don Philip Faithful on June 2, 2018 at 5:00am — No Comments

Ecology of Metrics

Although I deal with many different types of metrics, I believe they can be generally classified as follows: 1) time use; 2) alignment; 3) production; 4) performance; 5) service; 6) and market.  In this blog, I will be providing some comments pertaining to each.  Although I have yet to encounter any myself, I am certain that there must be text books on the issue of operational metrics and how to make use of them.  However, I personally developed nearly all of those that I use.  Although I do…

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Added by Don Philip Faithful on May 26, 2018 at 9:00am — 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

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

Technology and Decision-Making: A Complex Relationship

In all business areas making decisions is a natural and integral part of any company’s management process. Doesn’t matter if it’s a small family business or a huge multi-national corporation. At some point or another they all need to make decisions to ensure their continued operation. And that’s exactly what a manager’s job in an organization comes down to – a constant process of decision-making to ensure continued growth and…

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Added by Marina Pilipenko on April 5, 2018 at 5:00am — 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

Little Hitler Syndrome

What most people call “analysis,” I refer to this as “guidance.”  It is not guidance in terms of guiding the company; but rather, I provide a narrative to help guide people through the data - of which there is a great deal.  I play the role of a tour guide.  I remember when I was a teaching assistant for a social science class - and there was a contentious area that would likely be the focal point for essays - I said that it didn’t matter to me what “opinions” people expressed.  Nobody had…

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Added by Don Philip Faithful on March 3, 2018 at 11:00am — 1 Comment

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

The Theory of Theory

Since I am sometimes asked to explain phenomena in the absence of data, it becomes necessary to determine what data is required to explain phenomena.  Some would say the best approach is to develop and test a hypothesis - to start filling a void of space with pinholes of light - until there are enough lit pinholes to provide a working theory.  This is not to say that a few additional…

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Added by Don Philip Faithful on January 20, 2018 at 6:00am — No Comments

Infereferencing Algorithm

I once posted about making use of narrative objects.  In this blog, I will be discussing an algorithm that supports the creation of these objects.  I call it my “Infereferencing Algorithm”: this term is most easily pronounced with a slight pause between “infer” and “referencing.”  I consider this a useful and widely applicable algorithm although I don’t believe it operates well in a relational database environment.  Instead, I use “mass data files”:  these contain unstructured lumps of…

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Added by Don Philip Faithful on December 31, 2017 at 8:00am — No Comments

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