Enterprise supply chains have seen transformative changes and exponential growth, almost to a breaking point, over the past decade. This disruption is driven by multiple factors, including the growth of the supply chain itself to include potentially thousands of global partners, often with their own agendas, technologies, security protocols and strategic plans that may not intersect.
Common supply chain bottlenecks may include poor forecast accuracy levels, an inability to make full…Continue
Added by Dan Blacharski on May 14, 2018 at 5:00am — No Comments
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…Continue
Added by Don Philip Faithful on April 14, 2018 at 8:00am — No Comments
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…Continue
Added by Don Philip Faithful on January 20, 2018 at 6:00am — No Comments
Every product team wants to know what makes their product thrive. They want to know how to optimize metrics and leave users the happiest and most engaged. Without a way to definitively understand user behavior, they must turn to anything they can. Enter the A/B test.
Ultimately, every A/B test starts from a hypothesis. The hypothesis could be, “If we did [blank], then we would improve conversion.” Or “Feature X should drive increased retention, let’s test out that assumption through…Continue
Added by Divya Parmar on May 23, 2017 at 8:00am — No Comments
Essentially good hypotheses lead decision-makers like you to new and better ways to achieve your business goals. When you need to make decisions such as how much you should spend on advertising or what effect a price increase will have your customer base,…Continue
The diagram above was produced by my father in an effort to predict lotto numbers. Usually in a given year, I read at least a few blogs on using data science to help improve a person’s odds gambling. Gambling might include casino games, lottery tickets, and perhaps even stocks. On the other hand - and I admit that I might be an oddball in this area - I feel…Continue
Testing is an often overlooked yet critical component of any software system. In some ways this is more true of models than traditional software. The reason is that computational systems must function correctly at both the system level and the model level. This article provides some guidelines and tips to increase the certainty around the correctness of your models.
One of my mantras is that a good tool extends our ability and never gets in…Continue
Added by Brian Rowe on July 7, 2016 at 4:30am — No Comments
As the size of the database grows database performance becomes critical. Automation is a growing focus for data center operators facing increasingly complex environments. Database administration is complex, repetitive and time consuming. DBAs have to work long hours during off hours downtime. The outage of database costs heavily to the companies and affect their repute.
Shopping engines and online shopping places are highly dependent on database performance. Slower application…Continue
Added by Muhammad Saeed on May 9, 2014 at 4:00am — No Comments