Review: SAS Cortex Analytics Simulation Competition

From late April to early May, I got to participate in the Cortex Analytics Simulation Competition by SAS in collaboration with HECMontréal. The competition was open to everyone, especially targeted to students, who wanted to explore how predictive analytics is used in a real-world scenario.

I won’t go into too much detail about the game since I don’t want to give away possible answers for future competitions, but I would say it was a good experience learning about predictive analytics using SAS Enterprise Miner.

If you come across the competition and would like to learn more, this article goes through the game scenario, instructions and my personal experience throughout the competition.

Scenario

You’re working on a fundraising campaign for a not-for-profit charitable organisation with 1 million members. The foundation decided to add a direct contact campaign to its list of marketing activities. The objective is to fundraise the most donations given the costs of calling members. This will be done using predictive modeling software (SAS Enterprise Miner) to predict how many and which individuals to target in the campaign.

You will be provided with the dataset of potential donors. You will fit different models based on the previous behavior of donors, scoring donors to predict the donation this year. Using this output, decide how many potential donors to target. Upload your list of IDs which will be ranked from the submissions based on operating surplus: sum of donations - total cost of calling.

I created a table of some of the information given below.

Image for post

Table 1: some variables listed, Table 2: cost of contacting members

Daily Webinars and Instructions

As it’s an introductory competition, participants are given detailed game instructions and could attend daily 1-hr webinars (provided by SAS).

These webinars included presentations going through the instructions and Q&A sessions. We were given two different methods of modeling:

  1. “1-stage modeling”: a simple model which scores donors based on the predicted amount they will give.
  2. “2-stage modeling”: a more complex model which takes into account both the probability of giving (when contacted or not) and the predicted amount.

Of course, the 2-stage modeling process was more effective. It is more commonly known as uplift modeling, where the uplift is calculating by computing the difference between the predicted amounts which take into account the probability of giving when a person is contacted or not.

#modeling #data-science #machine-learning #review #predictive-analytics #deep learning

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Review: SAS Cortex Analytics Simulation Competition

Will SAS Language Continue To Hold Ground In Data Science?

Technology has a shelf life of a banana’: these are the famous words by Scott McNealy, the co-founder of Sun Microsystems. This is specifically true for SAS programming language, which has been an important software for data scientists around the world for quite some time now. However, with new inventions, many believe that SAS seems to be trailing behind. How true this is and what lies ahead for the future of SAS language in data science?

#opinions #python for data science #r for data science #relevance in data science #sas #sas analytics #sas business analytics leader #sas data science #sas training

Review: SAS Cortex Analytics Simulation Competition

From late April to early May, I got to participate in the Cortex Analytics Simulation Competition by SAS in collaboration with HECMontréal. The competition was open to everyone, especially targeted to students, who wanted to explore how predictive analytics is used in a real-world scenario.

I won’t go into too much detail about the game since I don’t want to give away possible answers for future competitions, but I would say it was a good experience learning about predictive analytics using SAS Enterprise Miner.

If you come across the competition and would like to learn more, this article goes through the game scenario, instructions and my personal experience throughout the competition.

Scenario

You’re working on a fundraising campaign for a not-for-profit charitable organisation with 1 million members. The foundation decided to add a direct contact campaign to its list of marketing activities. The objective is to fundraise the most donations given the costs of calling members. This will be done using predictive modeling software (SAS Enterprise Miner) to predict how many and which individuals to target in the campaign.

You will be provided with the dataset of potential donors. You will fit different models based on the previous behavior of donors, scoring donors to predict the donation this year. Using this output, decide how many potential donors to target. Upload your list of IDs which will be ranked from the submissions based on operating surplus: sum of donations - total cost of calling.

I created a table of some of the information given below.

Image for post

Table 1: some variables listed, Table 2: cost of contacting members

Daily Webinars and Instructions

As it’s an introductory competition, participants are given detailed game instructions and could attend daily 1-hr webinars (provided by SAS).

These webinars included presentations going through the instructions and Q&A sessions. We were given two different methods of modeling:

  1. “1-stage modeling”: a simple model which scores donors based on the predicted amount they will give.
  2. “2-stage modeling”: a more complex model which takes into account both the probability of giving (when contacted or not) and the predicted amount.

Of course, the 2-stage modeling process was more effective. It is more commonly known as uplift modeling, where the uplift is calculating by computing the difference between the predicted amounts which take into account the probability of giving when a person is contacted or not.

#modeling #data-science #machine-learning #review #predictive-analytics #deep learning

ClientFinda Review - Recommended or Not?

### ClientFinda Review

Do you have trouble attracting clients? You’re not by yourself.
Starting a business is not difficult, but growing a business can be difficult over time. The reason for this is that you require consistent cash flow.
Cash flow failure is one of the leading causes of failure in fast-growing businesses.

Sometimes an exciting increase in sales outpaces your ability to finance it. This is particularly difficult because you have become a victim of your own success.
Plan carefully for expansion, and especially ensure that you have solid sources of funding to support your expansion before it occurs. At the very least, if you over-plan and sales don’t skyrocket to the level you anticipated, you won’t be financially embarrassed.
And the only way to have consistent cash flow is to have customers who will pay for your goods or services.
Obtaining quality clients can be a real pain in the neck for your company.
I’ll show you the best way to find them, as well as the best tactics and system to employ.
According to statistics;

Only about 20% of new businesses survive their first year in business.

In the first five years, half of all small businesses fail.

These statistics can be frightening, whether you’re a seasoned small business owner or a first-time entrepreneur.
You’ve come to the right place if you want to get quality clients for your business, no matter what niche you serve or whether it’s a service or product-based business. Then get ready for the new ClientFinda App, which will go live on July 22nd, 2021.
Based on the positive buzz surrounding this software, I decided to conduct an in-depth review. ClientFinda is a game-changing platform… very much needed… and solves a HUGE problem for your company.
We’ll go over how it works, who it’s for, how much it costs, the incredible bonuses, the upsells, and the pros and cons of this new tool so you can make an informed purchase decision… and, of course, whether it is appropriate for you.
First,
What Exactly Is ClientFinda?
ClientFinda combines the power of Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to conduct a deep search for quality buyer leads in ANY niche.
All you have to do is answer a few questions and you’re done…
The ClientFinda AI wizard generates laser-targeted and pre-qualified buyer leads that are ONLY interested in your services and have specific requirements.
How Does It Operate?
Client Finda can be set up to work for you in three simple steps.
Step 1: Enter Your Audience Filters for Your Target Audience (Location, Niche, Social Media Presence, Online Reviews etc.)
Step 2: Look at the companies that are most likely to buy your services.
(AI, NLP, and ML powered results… ensuring 99.99 percent accuracy)
Step 3: Contact the clients who are most likely to purchase your services so that you don’t waste time and money on dead leads.
Who Is It Intended For?
works in the following fields:

Realtors and real estate

Ecommerce

Listings on Airbnb

Automobile Sales

Recreation and travel

Computer games

Music and film

Retail and online shopping

Education

Video Promotion

EVERYONE

Whatever your audience type is-SMM, Content Marketing, Website Builder, Paid Ads, Email Marketing, SEO, Ecommerce, Traffic, Agency & MMO, and so on.
This offer is ideal for you because EVERYONE requires buyer leads.
ClientFinda Advantages
You can discover whether or not your potential lead is running ads, as well as the type of ad they are running. The identification of ad mediums is done for you across platforms—Facebook, Messenger, Instagram, Adwords…
You can then reach out to them with ready-to-use ads OR an ad service proposal if they don’t run ads at all based on their brand needs and preferences!
You will be able to provide the following services to your customers:

GMB Standing

They haven’t yet created a Google My Business listing? Great, now is your chance to jump right in and save the day!

Google PageRank

How high does your company rank on Google? Does the website make good use of optimization? If not, sell them on your knowledge.

Advertisement Pixels

Do they have ineffective advertisements? As soon as you connect with them, sell high-converting ads to them, almost as if you could read their minds!

Google Analytics is a web analytics service.

Determine whether or not your lead is using Google Analytics to track and grow their brand on their website.
If not, step in to save the day and get paid for it.

Markdown Schema

Find websites that do not use schema markup and contact them so you can offer them your services and charge them top dollar for them.

Linkedin Page

Find out if the company has an existing LinkedIn profile, as well as information about their connections…

Facebook Page

Determine whether the company has a Facebook account, as well as statistics such as page likes, posts, and activity…

Twitter

Check to see if the company is on Twitter… with information such as the number of followers, tweets, and retweets!

What is the cost?
Incredibly, and this is one of the aspects of this offer that fascinates me…
ClientFinda and all of the awesome bonuses are available for a TINY one-time fee of $37… Can you outdo that?
That is a very small fraction of its true value, market cost, and income potential!
Furthermore, this small investment is backed by a solid ZRO RISK 14-day money-back guarantee, allowing you to test run the software with no risk on the part of the product creator.
However, keep in mind that this low one-time fee is only valid during the launch special period. DON’T MISS OUT!
What Exactly Are the Upsells?
ClientFinda PRO-$67/month is the first upsell.
Users can conduct UNLIMITED searches, generate UNLIMITED leads, close UNLIMITED clients, and profit UNLIMITEDly for a low one-time fee!

Upsell 2: $67 for Outreachr-AI Cold Email Writer.

Outreachr is a fully automated lead communication system powered by AI.

$97 for DFY Digital Marketing Services
Get Instant Access to TEN Full-Blown Digital Marketing Service Kits and start offering in-demand digital marketing services to your NEW & EXISTING clients.

Resellify + ClientFinda Reseller-$97, $297
RESELL the CleintFinda app under your own name and KEEP 100% of the profit. Selling software products is a simple way to make money.
Plus…
Get Reseller Rights to FIVE High-Quality Software Apps, as well as Professionally Designed Sales Pages and Marketing Materials.
PROS AND CONS
The benefits are obviously numerous, but I’ll only mention a few:

Increased conversions are guaranteed.

Innovative technology

The greatest possible global reach

It is extremely simple to use.

It is simple to set up.

EVERYONE NEEDS A MASS APPEAL SOLUTION!

EVERY COMPANY’S LIFELINE IS LEAD GENERATION.

Cons:

The Funnel is quite deep; there are four separate upgrade options: this isn’t much of a con because the software works perfectly without any of the upgrades.

You will require a strong internet connection.

WORDS TO REMEMBER
To summarize, if you want to keep your business running without worrying about not having enough clients or running out of cash, ClientFinda is your best friend.
As a result, on this note, I’ll say that ClientFinda is a timely solution that I strongly recommend.
Without a doubt, I rate it a five-star rating. Anything else will be labeled “BIAS!”
You may proceed to secure your access. Your investment is both SAFE and WISE. Cheers!

#clientfinda review #clientfinda review and bonus #clientfinda review bonus demo #clientfinda review bonus #clientfinda review demo #clientfinda reviews

Jackson  Crist

Jackson Crist

1618209540

Measuring Crop Health Using Deep Learning – Notes From Tiger Analytics

Agrochemical companies manufacture a range of offerings for yield maximisation, pest resistance, hardiness, water quality and availability and other challenges facing farmers. These companies need to measure the efficacy of their products in real-world conditions, not just controlled experimental environments. Single-crop farms are divided into plots and a specific intervention performed in each. For example, hybrid seeds are sown in one plot while another is treated with fertilisers, and so on. The relative performance of each treatment is assessed by tracking the plants’ health in the plot where that treatment was administered.

#featured #deep learning solution #tiger analytics #tiger analytics deep learning #tiger analytics deep learning solution #tiger analytics machine learning #tiger analytics ml #tiger analytics ml-powered digital twin

Alteryx Provides Free Access to Its Data Science Courses for Recent Graduates

The overnight transformation of companies adopting new technologies and transitioning to a digital work environment amid pandemic has made upskilling the most critical component in a worker’s repertoire in 2021. While information, data and the ability to make the right decisions serve as a stabiliser across verticals, analytics and data science have become indispensable tools to navigate today’s career scene.

According to a recent Forrester study, the top two challenges decision-makers cited are — the lack of employees with data skillsets and the lack of skills among business users who must use data insights. Almost 66% of organisations believe there is a requirement for data literacy among employees, where 59% demand analytic efficiency. However, with a converged approach to analytics through democratising access to data, automating tedious and complex processes, and promoting upskilling of data and knowledge workers, organisations can create a thriving data and analytics culture within.

#featured #advancing data and analytics #alteryx adapt #alteryx advancing data and analytics #alteryx upskilling programs #analytics upskilling #data and analytics #data science and analytics #start your analytics journey with adapt