You Have To Have a Digital Currency – I am not talking Crypto

Hello World,

You have to have a digital currency at today’s time. Although, I am all for Crypto – buy your Etherium and monitor the trends. However, I am not speaking about that. I am saying, that you have to have a following in today’s generation to keep up. A following on social media, and other digital platforms. Anything that gives you a positive traction towards your content.

The following actually validates your work and brings you more exposure to your brand. This helps your business grow with word of mouth. Word of mouth is the strongest form of advertising and marketing your brand. First and foremost, it’s free, sceond word of mouth usually comes from a reliable source such as your friends and family. Hence, it builds trust quicker than other branding techniques.

The number of following you have becomes a digital currency. The more you have the more valuable you are, the more work you get, and the more fortune you make. That’s one reason why people make a lot of money doing affiliate marketing and or starting a YouTube channel while posting daily. Posting daily creates traction.

Traction is important for the content you put out. It gets you notice. But the key to creating traction is consisitency, schedule, persistency and quality. You can’t give up, no matter how boring it is! It’s a part of building a brand, along with putting out good quality content for validation and shares.

So if you are any type of creative or business owner, I need you to focus on your social media strategy. A strategy good enough to bring you traction. At first you will just receive followings/views but, in the long run it will make you money.

Follow me on TikTok: Dlaofficial_

If you need help with Social Media Strategy then you can write to me here:

Stagnant – Stuck – Anxiety – What it Takes to Improve Your Situation

Hello World, What does it really take to look past your “stuck” situation right now? It takes experience of going through it a couple of times and then saying, okay I take ownership of my situation! Acceptance is our keyword for today’s topic. It takes acceptances to move on or keep moving from any tough …

Changing my Branding

Hello World,

I would like to update my blog name and change it up a little bit 😀

I want to change my brand name and branding! Any suggestions?

Love to hear your ideas and comments below. Also, would love for you to follow me on TikTok: Dlaofficial

Trade Mark for your Brand

Hello World,

I always want to provide informative content you can use to excel in your personal and professional growth.

I am the kind of personality who had to learn on her own and find her own coaches and mentors. I had to put in research for all the knowledge I have equiped over the years and I am still growing and learning.

Today I want to know if you are growing your brand? If you are, then check out these two websites which will help you locate Trade Marks for your brand. You can go on these websites and search for your Brand name and or a slogan.

USPTO – https://www.uspto.gov/

TradeMarkia – https://www.trademarkia.com/

Once, you searched the trade mark item you are looking for two things!

  1.  If the trade mark is “Dead” or “Live” 
  2. Detailed description of the industry the brand name/slogan was used for.

If the trademark is LIVE then you would not be able to use the trademark!

 

Check out my last few Blogs! Let me know if they are helpful. 

Want to make money from your Website?

Traction and Future of Blogs

Steamer – Amazon Deals

Career lesson…

Pandamic Planner – pick a skill to keep up

 

Thanks!

Tiktok: Dlaofficial_

 

Data Analytics – Get on it

Hi World!

To be successful in the near future you need to follow the following skillsets! These focus points will upgrade your porfolio and make you more demanding in the industry.

 

AI Ethics and Policy – explores the profound implications of AI on business and society. The ethical and policy issues linked with the application of AI in business are covered in-depth, including such issues as overcoming the job displacement due to AI by job creation, ensuring the public good as AI pervades the new economy, and balancing privacy and transparency in AI related endeavors.

Big Data Analytics  – big data architectures, the Hadoop ecosystem (especially Spark), NoSQL databases, and a sampling of powerful applications of big data analytics, including recommender systems and social network analytics. New concepts will include additional applications of big data analytics, including text and unstructured analytics, such as sentiment analysis, document clustering, and document classification.

Analytics in Financial Markets – will include traditional models such as: the CAPM, portfolio optimization, applied contingent-claims analysis, Altman’s-Z, Monte-Carlo methods and applied econometric models. In addition, the course will also cover recent advances in artificial neural networks and machine learning tools applied to forecasting financial time-series and corporate default as well as Block-Chain analytics.

Predictive Modelling – three key elements: analytics techniques, business applications, and basic coding/programming (in R, one of the leading open-source tools for analyzing data that you will be able to use in your jobs.) The emphasis will be not on the technicalities or theory, but rather on applications to various business cases. Basic familiarity with R is required, but for most classes you will receive a starter code, by running and modifying which you will learn analytics techniques and coding principles, and which you will also be able to use in your jobs. Because of that, much of the course will be in a form of a “hands-on” workshop; students are be expected to bring your laptop to class (with all the necessary software tools installed) and actively participate in the learning process. The course will cover 2 major topics within the domain of predictive analytics: “predicting quantities” and “predicting events”. Within the “quantities” part we will focus on linear models, variable selection and regularizations, as well as on time-series analyses. Within the “events” part we will focus on generalized linear models (logistic regression) and get an introduction to supervised machine learning (CART, random forest, boosting, and neural networks).

Please reach out if you have any question! I am here to share my experiences and help you succeed in your career!

DLA

TikTok: dlaofficial_