Friday, November 22, 2019
Business Intelligence and Analytics 39
1 B2B marketing trends for 2020
https://www.smartinsights.com/b2b-digital-marketing/b2b-strategy/b2b-marketing-trends-for-2020/
Understanding where B2B industries are going with their marketing can help you identify trends, discover the next big thing and keep ahead of the competition. This is especially important as we get ready to head into 2020, as marketing trends are set to change for the new year, which will likely affect your upcoming strategies.
2 4 Steps to Digitally Transform Your Business
https://datafloq.com/read/4-steps-digital-transformation-your-business/7200
According to McKinsey, data-driven organisations are 23x more likely to acquire customers, 6x more likely to retain customers and 19x more likely to be profitable. Being data-driven is good for business. Therefore, it is not a surprise that one question I always get when advising organisations is how to digitally transform your business and remain relevant in these fast-changing times.
3 3 Signs Your Business is Ready for a Recommendation Engine
https://medium.com/@ODSC/3-signs-your-business-is-ready-for-a-recommendation-engine-99cf9c8b684
Data is in high demand, not just on the business side but for customer-facing solutions as well. When your business can fully integrate data into your customer journey and day to day experience, you become a more valuable tool to that customer. There’s a lot of noise out there; you need ways to personalize the experience, so your products and services stand out.
4 Advanced Machine Learning with Basic Excel
https://www.datasciencecentral.com/profiles/blogs/advanced-machine-learning-with-basic-excel
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable.
5 Everything a Data Scientist Should Know About Data Management
https://www.kdnuggets.com/2019/10/data-scientist-data-management.html
To be a real “full-stack” data scientist, or what many bloggers and employers call a “unicorn,” you have to master every step of the data science process — all the way from storing your data, to putting your finished product (typically a predictive model) in production. But the bulk of data science training focuses on machine/deep learning techniques; data management knowledge is often treated as an afterthought. Data science students usually learn modeling skills with processed and cleaned data in text files stored on their laptop, ignoring how the data sausage is made.
6 The easy way to benchmark your digital marketing performance
https://www.smartinsights.com/marketplace-analysis/competitor-analysis/benchmark-your-digital-marketing-performance/
Measuring your success is more than looking at how much traffic is coming to your site and what your conversion rate is. You can’t really get a true idea of how you are performing unless you compare yourself to your competitors.
7 Tips on Maintaining Long-Term Affiliate Relationships
https://www.business2community.com/affiliate-marketing/tips-on-maintaining-long-term-affiliate-relationships-02260178
If you’ve already got a well-oiled affiliate marketing machine running on behalf of your business, you know that it’s one of the very best ways to promote. With a reputation for boosting conversion rates, strengthening brand awareness, and upping search rankings, it’s no wonder affiliate marketing earns 15% percent of the total revenue in the realm of digital media advertising. But how do you keep the machine going with minimal maintenance, earning you big bucks along the way?
8 How Big Data And Analytics Are Transforming The Audit?
https://inc42.com/resources/how-big-data-and-analytics-are-transforming-the-audit/
Auditing always holds the biggest challenge in it, such as data privacy, Data Governance, Ethics, and Integrity. Earlier data was something that is human-generated and structured by them. Whereas, recent technological inventions have turned data to be machine-generated and unstructured. Thus, the massive cluster of data is now termed to be the Big Data. This big data is expected to have a drastic impact on productivity, profits, and risk management. Analytics, a process of verifying the data and its objectives, which draws a meaningful conclusion.
9 How to Save and Reuse Data Preparation Objects in Scikit-Learn
https://machinelearningmastery.com/how-to-save-and-load-models-and-data-preparation-in-scikit-learn-for-later-use/
It is critical that any data preparation performed on a training dataset is also performed on a new dataset in the future. This may include a test dataset when evaluating a model or new data from the domain when using a model to make predictions.
10 A Multivariate Time Series Guide to Forecasting and Modeling (with Python codes)
https://www.analyticsvidhya.com/blog/2018/09/multivariate-time-series-guide-forecasting-modeling-python-codes/
Time is the most critical factor that decides whether a business will rise or fall. That’s why we see sales in stores and e-commerce platforms aligning with festivals. These businesses analyze years of spending data to understand the best time to throw open the gates and see an increase in consumer spending.
11 How to Develop Multi-Step LSTM Time Series Forecasting Models for Power Usage
https://machinelearningmastery.com/how-to-develop-lstm-models-for-multi-step-time-series-forecasting-of-household-power-consumption/
Given the rise of smart electricity meters and the wide adoption of electricity generation technology like solar panels, there is a wealth of electricity usage data available.
This data represents a multivariate time series of power-related variables that in turn could be used to model and even forecast future electricity consumption.
12 9 tips for targeting audiences based on behavior
https://adage.com/article/industry-insights/9-tips-targeting-audiences-based-behavior/2215276
Behavioral targeting is an increasingly popular marketing method whereby advertisers leverage user data to strengthen ads. This method creates a personalized user experience based on a user’s shopping history, online behaviors and additional preferences.
13 What Good Is Data If You Don’t Use It to Reach Customers?
https://www.business2community.com/business-intelligence/what-good-is-data-if-you-dont-use-it-to-reach-customers-02259662
Digital marketing is a bona fide revolution. The ability to reach buyers where they live on the internet changed everything—how we identify customers, how we target them, and how we convince and convert. Digital marketing also opened up opportunities to actually track the buyer throughout the journey, turning people into raw data.
14 Don’t Get Stuck; Move Forward
https://www.business2community.com/strategy/dont-get-stuck-move-forward-02259570
A difficult problem can and will eventually become a roadblock so large that it renders forward progress in any productive way virtually impossible. The direct result of a roadblock as such is more often than not, procrastination, and the longer this problem is in place, the more you become convinced there are no solutions. This couldn’t be further from the truth.
15 The Future of Wearables: How Wearable Tech Will Change Everything
https://datafloq.com/read/future-wearables-how-tech-will-change-everything/5172
It’s one of the big buzzwords of the moment, the “Internet of Things”. It’s been dubbed as the next industrial revolution – or as businesses call it -Industry 4.0. Between that and A.I, there’s enough to overwhelm even the most tech-savvy. There’s talk of toasters that use machine learning to make the perfect toast, refrigerators that can order their own milk and butter when reserves are low (no more running to the corner shop before breakfast), and even buildings that have voice activation and temperature control according to the weather.
