By CAREEREALISM-Approved Expert, Rosa E. VargasThe value of your tweets. Now that you have set up your Twitter account, what do you tweet in order to get closer to an actual job lead? There are many steps you can take to job search via Twitter but in this blog post I will focus on your tweets' content because a great tweet can propel you closer to a job -- a bad tweet can help you lose the job you currently have…AND QUICKLY! Micro blogging as part of your job search toolkit. Project and strengthen your professionalism, brand, and expertise. If you provide valuable and spot-on content, you will gain influential followers. If your Twitter "followers" find your content useful and insightful, they may recommend others follow you or better yet (RT) re-tweet you, helping you expand your reach and networking possibilities. Don't tweet anything you would not say in person to your future boss. For some odd reason people share more than they should via their tweets. You should be even more cautious because what goes online stays online, forever! Be tactful and remember employers will Google you! Stay on topic and provide useful content. Say you are seeking employment as a Pediatric RN, stay on that subject. Tweet about an article you wrote regarding healthcare, your thoughts on excellent pediatric care, provide advice, and share links to interesting on-topic blog posts. You may even tweet a job lead you did not pursue. Don't. Please. Don’t start tweeting about…say…your trip to the grocery store or about your romantic relationships. (I know the little Twitter box request “What’s happening” but don’t literally answer that!) Sure, engage in conversation but at all times be cognizant of what you’re discussing. Incorporate keywords in your tweets. Include jargon/keywords specific to your target industry. Your tweets will become pages on the Internet and so be sure to optimize your job search tweets for the web. What are keywords? Keywords are industry-specific nouns and noun phrases such as tech skills and job titles. However, perhaps the most imperative reason for incorporating keywords in your tweet is so…your tweets help shape or fortify your expertise!Hash tags. Adding a hash tag (#) to your industry keyword (e.g., #nurse, #CEO, #sourcing manager, etc.) will help professionals within your industry find you when they conduct an on-topic search. Sample Keywords and Hash Tags in Tweets: #Nursing advice: age-appropriate bedside care is even more important when dealing with #pediatric patients. #Sales #management: a client-focused presentation is the key in closing deals in a tough economy. #Webdesign: beautiful layouts that are also search engine friendly are essential for great #SEO. You should aim to keep tweets even shorter than the allowed 140 characters in order to encourage re-tweets (RTs). If someone does not have to edit your tweet in order to re-tweet it, then that person is more likely to! More RTs means more people will learn you are job searching. Enjoying this article? You could get the best career advice daily by subscribing to us via e-mail.Re-tweets brand you too. Once you RT a message, this tweet becomes part of your Twitter stream, so be selective. What you choose to re-tweet demonstrates your thought process, your decision-making, and illustrates what captures your attention. (I know, Twitter is supposed to be fun, but creating career opportunities in such a challenging job market is work...and a strategic endeavor.)Tweet your resume in moderation. Yes, you are on Twitter to job search -- I understand. Yet, don’t tweet your resume with every other tweet. Hold back a bit. Find folks to follow, share tweets, gain followers, network, re-tweet others, and then tweet your resume once a week and ask others to RT it. People help those they like -- not those that annoy them or seem blatantly opportunistic. It is “social” networking so please implement social etiquette. The ideal situation would be for you to provide a link from your Twitter bio to your resume (on LinkedIn or VisualCV.com) and as you tweet brilliant information, engage your ‘tweople,’ become valuable to your ‘twittersphere,’ your ‘followers’ will be interested enough to click on that link to your resume. Twitter is just one tool. Twitter is one method for you to go about networking and creating your own job opportunities. Twitter is another channel for you to expand your reach and concurrently build or reinforce your brand as an expert. Don't ever sit back and wait for someone to magically tweet a great lead for you. Just like your resume, cover letter, and other career marketing tools -- Twitter is just one tool. Did you enjoy this article? Read more articles by this expert here.Rosa Elizabeth Vargas is a job search strategist who is Quadruple-certified as an (MRW) Master Resume Writer, (CERW) Certified Expert Resume Writer, (NCRW) Nationally Certified, and (ACRW) Academy Certified Resume Writer. Additional qualifications include job search coaching and social media consulting. She has been helping job hunters since 2003 as owner of Creating Prints Resume Service, leveraging an accomplished 10-year career background as a Leader/Senior Manager, which included interviewing, hiring, training, and building strong and competent teams. You can find her on Twitter at @resumeservice.The photo for this article is provided by Shutterstock.
8 Ways You're Being SHUT OUT Of The Hiring Process
1-hour workshop to help job seekers figure out what's getting them tossed from the hiring process
September 28, 2022
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Understanding which fears are getting in the way and how to overcome them will make all the difference. Sometimes you might not be aware of which obstacle is getting in the way of your goals. If you want to overcome these fears once and for all, we invite you to join us!
In this training, you’ll learn how to:
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CAN'T ATTEND LIVE? That's okay. You'll have access to the recording and the workbook after the session!
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In this article, we are going to review the elements of a good analytics planning framework and how analytics planning is part of data product ownership in the data mesh.
What Is Analytics Planning?Bigstock
As part of any CDO or CDAO role, there is both data and analytics governance and a process for ensuring that analytics and insights are generated from the right data to solve a variety of business problems.
To make sure that data products (i.e., dashboards, insights, commercialized analyses, etc.) in the data mesh are fit for purpose, the business and analytics problem framing must occur to have workable high-impact solutions.
Analytics planning and next-generation analytics are helpful to a variety of stakeholders—chief data analytics officers, chief data scientists, heads of marketing analytics, and heads of digital analytics.
Many times, data analytics is a center of excellence, and therefore is vital for the professionals in the COE to have a seat at the table whether that is with a data product owner, a tribe lead, or a business person. This linkage and relationship are vital, not only from a relationship management standpoint but to enable the right data mesh design by helping to identify the right analytics and data products. The goal is to get the data needed to improve business decision-making and monetization.
What Type Of Meeting Or Committee Does Analytics Planning Require?
Analytics liaisons and data stewards from the COE should meet with data product owners and business people in what I call data analytics governance meetings where the types of analytics and data products are discussed. This is a “seat at the table” meeting among business partners to discuss the appropriate types of proactive analytics that would drive problem solutions and business impact.
Data analytics topics to be discussed include:
- Data requirements
- Descriptive analytics
- Predictive and prescriptive analytics
- Data products and monetization tactics
These leadership meetings should occur at least quarterly. Monthly (or more frequent) reviews should occur at the project team level. Typically, data analytics functions can have hundreds or thousands of projects depending on the number of business partners.
What Is The Business Purpose Of These Planning Meetings?Bigstock
For analytics or data products to be fit for purpose, you will want to review the partner's business strategy as well as any P&L drivers where analytics might have an impact:
- Frame the business problems and opportunities.
- Determine if the data mesh/data fabric can support these efforts.
- Then decide what the deliverables/solutions are and the path to deploy. Don’t lead with models, analyses, or research outputs. Ensure that if you build a solution there is a commitment from the client to deploy it with an understanding of the potential business benefit.
Data analytics governance creates a prioritization process.
The prioritization process could include business ROIs, GCOs (good customer outcomes), or other metrics to determine what gets worked on first. Are these projects high priority, medium, low, strategic, or even non-negotiable? (Non-negotiable might mean compliance projects which means the data analytics team must carve out bandwidth to create new data pilots/new analytics pilots. Pilots could include identification of new segments or new scoring systems based on transaction data and more.)
Data Analytics Planning — It All Goes Back To Business Problem Framing.Bigstock
What is the number one reason analytics fail? We hopefully all know this, but it is worth mentioning again: the number one reason analytics fail is due to a failure to frame the business problem correctly.
What type of problems may clients mention to the data analytics team during the quarterly check-ins?
- How are we improving against customer expectations?
- Are we connecting with prospective customers?
- How do we qualify sales leads for better cross-sell/upsell?
Analytics Problem Framing: Choosing The Type Of Analytics Method To Solve The Problem.Bigstock
Let’s review the categories of analytics that may be part of the discussion during the analytics planning meeting with the business and product owners.
- Metrics and measurement. How does the business person or product owner run their business line? That which is measured is actioned.
- Setting KPIs becomes a focal point for understanding key drivers of any problem and provides the jump-off point for additional analytics.
- KPIs and metrics are considered more of a BAU type of analytics and answer questions such as:
- How many customers do we have in which segments?
- How many and what channels are they using?
- Describing and profiling: often helps define customer behaviors.
- Which customers are profitable? Helps understand the 80/20 rule.
- What prospects are similar to our customers? Look-alike profiles, etc.
- What is the financial situation of our customers—are they wealthy, what life stage are they in, etc.?
- Knowledge discovery: surface unknown patterns which customers have. For example, if you're in a bank, are certain checking customers diminishing their balances which may mean they're taking their money out and potentially putting it elsewhere? Intervention strategies can be designed from this type of knowledge discovery.
- Segmentation and clustering: grouping customers by homogenous groups, for example, based on their value, life stage, potential, etc.
- Algorithms and prediction. Many data science and statistical methods can help to predict the customer's responsiveness, next best action, right channel to engage, risk level, and more.
So that's a little bit about how to match the business problem to the type of analytics. The next step would be for the analytics leader or analytics liaison to work with the data product owner or business lead to provide an endorsed quarterly data analytics plan which would also identify data needs in order to perform the agreed-upon analytics.
What are the elements of the analytics plan?
- A list of prioritized BAU initiatives that have been agreed upon from the meeting with the product owners along with business goals and projected returns generated from insights.
- Agreement on the type of analytics deliverables and the path to deploy. For example, will this model be scored on an ongoing basis to provide targeted leads to salespeople? If the business person or the product owner declines to leverage learnings, then these analytics should be prioritized as low or even canceled.
- Agreement to proactively serve up new analytics. Some level of innovative pilots should be part of any analytics planning framework. This approach takes the data analytics team out of defensive mode and puts them in an offensive, proactive, and prescriptive position.
- Analytics planning includes an agreement to do an ongoing blueprint and roadmap for analytics which includes an assessment of the maturity level of the firm’s data analytics. Unfortunately, many of the maturity models that exist only focus on data governance and don’t connect the dots between data maturity and data analytics maturity. A data analytics maturity assessment and blueprint must include looking at the level of next-generation analytics that the firm is developing and testing including RPA, generative AI, machine learning, and more. One view in the plan should assess the level of defensive data analytics the team is involved in versus offensive analytics. (Get in contact with me if you need more information about this maturity model.)
Given the data mesh puts a higher degree of quantitative skills on business partners, it is imperative for all stakeholders to have a better understanding of data, analytic methodologies, and execution. Training and knowledge maturity is critical.
I hope this post helps fill in some of the planning gaps in the data mesh concept and shows how analytics planning can inform what the data product owners can work on and how an ongoing engagement and governance model can be established to benefit both the analytics team as well as the business as a whole.
What has your experience been with data analytics planning in the data mesh? We look forward to hearing your thoughts.
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The COVID-19 crisis has sent the economy into a recession and impacted numerous careers. Although people are naturally on edge right now, it's important to know that while searching for a job during a recession isn't easy, it's not impossible.
As a result of the COVID-19 crisis, millions of people quit their jobs or were laid off by their employers, and many are still struggling to find a job. There are record levels of competition for open positions. If you want to stand out to employers, you need to be prepared for the job search process.
Here are four common myths about the job search process during a recession, and what you should do to land a job in hard times.
Myth #1: No One Hires During A Recession
Businesses are always hiring!
There are some businesses that are greatly impacted by recessions that will reduce staff and implement hiring freezes, and others that will slow their hiring, but in general there's always some need to hire people as a result of vacancies and retirements. In addition, there are some industries that continue to do well in a recession.
However, while businesses are still hiring during a recession, the job competition will be greater and you'll need to work harder to market yourself as an employee worth hiring. There are multiple ways you can make yourself a better candidate. This includes finding ways to upskill, networking, improving your resume, and writing a disruptive cover letter.
Myth #2: No One Will Hire You After Getting Laid Off
Layoffs are a fact of life and businesses realize that.
But from a competition standpoint being laid off puts you at an initial disadvantage. Layoffs are common during a recession. This increases competition because of the number of people in the job market in need of work.
If you're laid off, you have to work even harder to market yourself to potential employees. But at the same time, you don't want to come across as too desperate. Like with any job search, do your research and leverage your professional network whenever you can.
You may also want to consider which industries are still hiring during the recession and taking a job in one of those industries to hold you over. There's no shame in working outside of your desired industry. There may even be benefits to it.
Given the circumstances of COVID-19 and the recession, future employers will understand the career detour.
Myth #3: If You're Over 50, You Won't Get HiredBigstock
Age discrimination is a topic that comes up from time to time but in reality it's actually called experience discrimination.
People over the age of 50 are staying in the workforce a lot longer but have to compete with millennials and Gen Z that make up more than half of the workforce. These younger generations are highly skilled, tech savvy, and a lot cheaper to employ.
This means that anyone over 50 looking to get hired needs to work even harder to get noticed. You need to clearly understand and sell what it is that you do well (your specialty). You also need to invest in yourself and be willing to upskill whenever you can.
Myth #4: You'll Have To Take Less MoneyBigstock
Finding a job during a recession doesn't mean an automatic pay cut!
Recession or not, you should prepare for a typical salary negotiation process. Do your research and have an idea of the competitive rate for the position you're pursuing.
If you've settled on a salary range, be ready to prove to the company why you would be worth the investment. You can do this by demonstrating why you'd be a valuable asset to the company and how your unique skills/experiences will make you the best fit for the role.
It always comes back to marketing yourself.
Recessions come and go and we will get through this one! Recession or not, one thing about the job search process remains true—you have to work hard and be your own best advocate.
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This article was originally published at an earlier date.
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