The Value of Being a Power BI Developer in Today’s Data-driven World

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In the fast-paced world of data analysis and business intelligence, being a Power BI developer is truly a valuable skill set to have. With the increasing demand for data-centric decision-making and the exponential growth of the Business Intelligence market, having expertise in Power BI opens up exciting career opportunities. Let’s look at why being a Power BI developer is so sought after and how it benefits individuals in the ever-evolving landscape of data analytics.

Data Modeling: Laying the Foundation for Success

Let’s start with the basics, shall we? Data modeling is like the building blocks of any data analysis system, including Power BI. As a Power BI developer, having a good grasp of data modeling is crucial. It ensures that your Power BI reports are fast, easy to maintain, flexible to changes, and, most importantly, successful. So, understanding the ins and outs of data modeling is like having a superpower that sets you up for success in any BI project.

Power BI Desktop: Your Trusted Sidekick

Picture this: Power BI Desktop is like your trusty sidekick in your journey as a Power BI developer. It’s the tool that will accompany you most of the time. While it might seem straightforward at first glance, there are plenty of nifty features and hidden gems to discover. So, as a Power BI developer, it’s essential to invest some time in getting to know the tool inside out. Once you do, you’ll be able to unleash its full potential and create stunning visualizations that impress stakeholders.

Data Transformation and ETL: Unleashing the Power of Data

Ah, the magic of data transformation and ETL (Extract, Transform, Load). As a skilled Power BI developer, you have a knack for extracting data from various sources, transforming it into a suitable format, and loading it into Power BI for analysis and visualization. This expertise allows you to handle complex data scenarios with finesse, ensuring the accuracy and reliability of the insights derived from the data.

Growing Demand and Career Opportunities

Now, let’s talk about the bigger picture. The field of data science and business intelligence has experienced a massive boom in recent years. The Business Intelligence market is projected to reach a staggering USD 33.3 billion by 2025. This means that there’s a surging demand for skilled professionals who can work wonders with data. And guess what? Power BI, being one of the leading BI tools in the market, plays a pivotal role in this landscape.

When it comes to BI tools, Microsoft Power BI takes the crown. Its ease of use, interactive visualization capabilities, and self-service analytics features have made it a fan favorite. By mastering data modeling, Power BI Desktop, and data transformation techniques, you unlock the true potential of Power BI and deliver meaningful insights to organizations. With the increasing demand for data professionals and the widespread adoption of Power BI as a leading BI tool, your expertise in this field sets you up for a successful and fulfilling career. Embrace the data revolution and shape the future of business intelligence as a Power BI developer.

Microsoft Fabric: Disrupting the Data Landscape with Unified Analytics

In today’s data-driven world, organizations are constantly seeking ways to harness the power of data and gain a competitive edge. Microsoft has introduced Microsoft Fabric, an end-to-end analytics platform aimed at revolutionizing the data landscape and paving the way for the era of AI. Fabric integrates various data analytics tools and services into a single unified product, offering organizations a streamlined and comprehensive solution to their data analytics needs.

Unified Analytics Platform

Fabric sets itself apart by providing a complete analytics platform that caters to every aspect of an organization’s analytics requirements. Traditionally, organizations have had to rely on specialized and disconnected services from multiple vendors, resulting in complex and costly integration processes. With Fabric, organizations can leverage a unified experience and architecture through a single product, eliminating the need for stitching together disparate services from different vendors.

By offering Fabric as a software-as-a-service (SaaS) solution, Microsoft ensures seamless integration and optimization, enabling users to sign up within seconds and derive real business value within minutes. This approach simplifies the analytics process and reduces the time and effort required for implementation, allowing organizations to focus on extracting insights from their data.

Comprehensive Capabilities

Microsoft Fabric encompasses a wide range of analytics capabilities, including data movement, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence. By integrating these capabilities into a single solution, Fabric enables organizations to manage and analyze vast amounts of data effectively. Moreover, Fabric ensures robust data security, governance, and compliance, providing organizations with the confidence to leverage their data without compromising privacy or regulatory requirements.

Simplified Operations and Pricing

Fabric offers a streamlined approach to analytics by providing an easy-to-connect, onboard, and operate solution. Organizations no longer need to struggle with piecing together individual analytics services from multiple vendors. Fabric simplifies the process by offering a single, comprehensive solution that can be seamlessly integrated into existing environments, reducing complexity and improving operational efficiency.

In terms of pricing, Microsoft Fabric introduces a transparent and simplified pricing model. Organizations can purchase Fabric Capacity, a billing unit that covers all the data tools within the Fabric ecosystem. This unified pricing model saves time and effort, allowing organizations to allocate resources to other critical business and technological needs. The Fabric Capacity SKU offers pay-as-you-go pricing, ensuring cost optimization and flexibility for organizations.

Synapse Data Warehouse in Microsoft Fabric

As part of the Fabric platform, Microsoft has introduced the Synapse Data Warehouse, a next-generation data warehousing solution. Synapse Data Warehouse natively supports an open data format, providing seamless collaboration between IT teams, data engineers, and business users. It addresses the challenges associated with traditional data warehousings solutions, such as data duplication, vendor lock-ins, and governance issues.

Key features of Synapse Data Warehouse include:

a. Fully Managed Solution: Synapse Data Warehouse is a fully managed SaaS solution that extends modern data architectures to both professional developers and non-technical users. This enables enterprises to accomplish tasks more efficiently, with the provisioning and managing of resources taken care of by the platform.

b. Serverless Compute Infrastructure: Instead of provisioning dedicated clusters, Synapse Data Warehouse utilizes a serverless compute infrastructure. Resources are provisioned as job requests come in, resulting in resource efficiencies and cost savings.

c. Separation of Storage and Compute: Synapse Data Warehouse allows enterprises to scale and pay for storage and compute separately. This provides flexibility in managing resource allocation based on specific requirements.

d. Open Data Standards: The data stored in Synapse Data Warehouse is in the open data standard of Delta-Parquet, enabling interoperability with other workloads in the Fabric ecosystem and the Spark ecosystem. This eliminates the need for data movement and enhances data accessibility [3].

Microsoft Fabric represents a disruptive force in the data landscape by providing organizations with a unified analytics platform that addresses their diverse analytics needs. By integrating various analytics tools and services, Fabric simplifies the analytics process, reduces complexity, and enhances operational efficiency. The introduction of Synapse Data Warehouse within the Fabric ecosystem further strengthens the platform by providing a next-generation data warehousing solution that supports open data standards, collaboration, and scalability. With Fabric, Microsoft aims to empower organizations to unlock the full potential of their data and embrace the era of AI.

Let us know what you think! Will Fabric be a game-changing disruptor or is MS just playing catchup to Snowflake? Which SaaS do you think will hold the most market share by the end of 2023?

Data Science & Data Analytics: Understanding The Difference

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Uncover the difference between data science and data analytics. From insights to solutions, explore the roles and questions they address. See how data analytics acts as a guide to uncover valuable insights, while data science delves deeper, constructing solutions and predicting outcomes.

The Art of Uncovering Insights

Imagine you’re an explorer on a thrilling adventure, seeking hidden knowledge. Data analytics serves as your trusty guide, providing a roadmap to quickly find valuable insights. It helps you collect and analyze specific information, answering questions like, “What are people buying the most these days?” or “How many visits does our website receive?” Data analytics involves organizing, summarizing, and visualizing data to unearth valuable discoveries.

The Detective of Data

Let’s introduce a protagonist, the Data Scientist. Data scientists are like master detectives, utilizing data to solve complex mysteries. Data Scientists unravel hidden patterns, predict the future, and address questions that may seem perplexing at first glance.

Crunching Numbers and Creating Solutions

While data analytics focuses on extracting insights from existing data, data science takes it a step further. Data scientists act as skilled builders, constructing powerful models and algorithms to predict outcomes and make sense of the unknown. They bridge the gap between data and real-world applications. Whether it’s forecasting tomorrow’s weather or recommending your next favorite Netflix show, data scientists work behind the scenes, creating magical solutions.

The Power of Inquiry

One key distinction lies in the questions each role aims to answer. Data analysts primarily focus on “what happened” and “why did it happen” questions. They analyze past trends to understand successes and failures. Conversely, data scientists explore questions like “What will happen” and “How can we make it happen.” They predict future trends, recommend actions, and design intelligent systems that learn and adapt over time.

The Power of Communication

One key skill sometimes lacking in both career tracks in data is the ability to communicate. The best data is useless if leadership cannot understand what it means or how to use it to predict what will happen next. Even the best dashboard and data visualizations require their creator to be able to expand and dive deeper into key areas leadership wants. This is what sets Colaberry candidates apart, they are skilled and tested in their soft skills, like communication. To see the Colaberry difference check out the full bench at Hire.Refactored.ai.

Embracing the Data Universe

Data analytics is the art of exploring existing data to answer specific questions, while data science delves into the unknown, predicting outcomes and constructing robust solutions. Both roles are integral in the captivating realm of data. They are like two sides of a coin, each with its unique strengths, contributing to the exciting world of data exploration!

If you are looking to add any data skillset to your team and want candidates who are versed in not just data tools but also working at the edge of technology using AI and Chat GPT to enhance their capabilities; then you should reach out to Colaberry. Our candidates are experienced and have real-world projects that serve as examples of what they can produce for your company. To see our active bench of candidates ready for a new role either contact Sal or go to Hire.Refactored.AI.

Spotlight on School Events: A Look Into The Exciting Activities Happening Every Month!

Step into the world of boundless opportunities at our weekly and monthly Blog events, designed to empower and equip students and professionals with cutting-edge skills in Business Intelligence and Analytics. Brace yourself for an awe-inspiring lineup of events, ranging from Power BI and Data Warehouse events, SQL Wednesday events, Qlik and Tableau events, and IPBC Saturday events, to multiple sessions, focused on helping students ace their coursework and mortgage projects.

Power BI Event (Monday, 7:30 pm CST)

Data Warehouse (ETL) Event (Monday, 7:30 pm CST)

Our Power BI and Data Warehouse event is an excellent opportunity for beginners and professionals to learn and improve their skills in creating effective data visualizations and building data warehouses. Our experienced trainers will provide a comprehensive overview of the latest tools and techniques to help you unlock the full potential of Power BI and Data Warehouse. Join us on Monday at 7:30 pm CST to learn more.

SQL Wednesday Event (2nd and 3rd Wednesday 7:30pm CST)

Our SQL Wednesday event is designed to help participants gain in-depth knowledge and understanding of SQL programming language. The event is divided into two sessions on the 2nd and 3rd Wednesday of every month, where we cover different topics related to SQL programming. Our experts will guide you through the nuances of SQL programming, and teach you how to use the language to extract insights from large datasets.

Tableau Events (Thursday 7:30 pm CST)

Qlik Events (Thursday 7:30 pm CST)

Our Qlik and Tableau events are dedicated to helping participants master the art of data visualization using these powerful tools. Whether you are a beginner or an experienced professional, our trainers will provide you with valuable insights and best practices to create compelling data stories using Qlik and Tableau. Join us on Thursday to learn how to make sense of complex data and present it in an engaging and impactful way.

IPBC Saturday Event (Saturday at 10 am CST)

Our IPBC Saturday event is designed to provide participants with a broad understanding of the fundamentals of business analytics, including predictive analytics, descriptive analytics, and prescriptive analytics. Our trainers will provide hands-on experience with the latest tools and techniques, and demonstrate how to apply analytics to real-world business problems.

Mortgage Project Help (Monday, Wednesday, & Thursday at 7:30 pm CST)

For those students who need help with their mortgage projects, we have dedicated sessions on Monday, Wednesday, and Thursday at 7:30 pm CST. Our experts will guide you through the process of creating a successful mortgage project, and help you understand the key factors that contribute to a successful project.

Homework help (Wednesday, Thursday, Saturday)

We understand that students may face challenges in their coursework, and may need additional help to understand concepts or complete assignments. That’s why we offer dedicated homework help sessions on Wednesday at 8 pm CST, Thursday at 7:30 pm CST, and Saturday at 1:30 pm CST. Our tutors will provide personalized guidance and support to help you overcome any challenges you may face in your coursework.

CAP Competition Event (1st Wednesday of the Month at 7:30 pm CST)

We have our monthly CAP competition where students showcase their communication skills and compete in our Monthly Data Challenge. Open to all students, this event offers a chance to sharpen skills and showcase abilities in front of a live audience. The top three winners move on to the next level. The event is free, so come and support your fellow classmates on the 1st Wednesday of every month at 7:30 pm CST. We look forward to seeing you there!

The Good Life Event (1st Thursday of the Month at 10 am CST)

Good Life event on the 1st Thursday of every month at 10 am CST. Successful alumni come to share their inspiring success stories and offer valuable advice to current students. Don’t miss this opportunity to gain insights and learn from those who have already achieved success. It’s an event not to be missed, so mark your calendar and join us for the next Good Life event.

Data Talent Showcase Event (4th Thursday of Every Month at 4 pm CST)

Our Data Talent Showcase Event is the next level of the CAP Competition where the top three winners compete against each other. It’s an event where judges from the industry come to evaluate and select the winner based on the projects presented. This event is a great opportunity for students to showcase their skills and receive feedback from industry experts. Join us at the event and witness the competition among the best students, and see who comes out on top!

Discover the electrifying world of events that Colaberry organizes for students and alumni, aimed at fostering continuous growth and progress in the ever-evolving realm of Business Intelligence and Analytics. With an ever-changing landscape, our dynamic and captivating lineup of events ensures that you stay ahead of the curve and are continuously intrigued. Get ready to be swept off your feet by the exciting opportunities that await you!

To see our upcoming events, <click here>

Opportunities For The Diverse in Today’s Layoffs

From Google to Microsoft and Now Red Hat, layoffs seem to be everywhere you look.
I want to share my perspective on the recent layoffs in the tech industry and why it could be a positive opportunity for people of diversity who are in data.

The layoffs we have seen in companies such as Red Hat Software, Accenture, and Microsoft are not necessarily a sign of less need for data science personnel. Instead, it represents a shift in the tech industry towards more sustainable growth. These companies have been growing rapidly for the last few (many) years, fueled by venture capital, and the recent layoffs are an indication that these companies are coming back down to earth.

woman-diversity — **Layoffs can be cause for uncertainty but, there is always an opportunity to be found if you know where to look.**

This shift in the industry can be seen as a positive opportunity for people of diversity who are in data. As the industry transitions to a more sustainable model, there will be greater demand for diverse talent that can bring unique perspectives and ideas to the table. In other words, companies will start to recognize the value of having a diverse team and the impact it can have on their business.

For too long, the tech industry and data specifically, has been known for its lack of diversity, with many companies struggling to attract and retain diverse talent. But with the recent shift towards more sustainable growth, there is an opportunity for companies to reassess their hiring practices and focus on building a diverse team. This could mean more opportunities for women, people of color, and other underrepresented groups in data.

Yes, there has been a reduction in the actual diversity teams of some larger companies so this means HR and recruiting teams will have to work harder to both retain and attract the diversity that companies know is valuable to their growth.
They could focus on doubling down and working twice as hard or they can focus on smarter options like working with Colaberry, a company that is dedicated to bringing diversity into the data industry. 90% of their consultants are DEI positive and 43% are female. It’s an easy solution to a difficult problem.

Directors & hiring managers in data departments realize it’s important to recognize the value of diversity and be intentional about creating an inclusive workplace culture. This means not only hiring a diverse team but also fostering an environment where everyone feels welcome, valued, and supported.

The recent layoffs in the tech industry could be a positive opportunity for people of diversity in data and the companies smart enough to attract and fight to retain them. As the industry shifts towards more sustainable growth, companies will start to recognize the value of having a diverse team. As a director or hiring manager, it’s important to take advantage of this opportunity by being intentional about creating an inclusive workplace culture that values diversity and encourages everyone to bring their unique perspectives to the table.

Image of African-American business leader looking at camera in working environment. — **Smart companies know that when you’re looking for something special/specific it pays to work with a specialist. This holds true when it comes to data science and diversity.**

If you and your company know how valuable diversity coupled with top-tier data skills can be and want to discuss adding talent to your team without the headaches of mountains of applications and having to vet the applicants that look good on paper, then we should talk.

Reach out to Sal and the Colaberry team today
Andrew “Sal” Salazar
[email protected]
682.375.0489

www.colaberry.com/contactus

5 Most Powerful Ways AI is Revolutionizing Business Analytics

AI is revolutionizing business analytics enabling businesses to make intelligent decisions faster and with more accuracy. Is your company keeping up with the competition? Here are the five ways AI is transforming business analytics:

Predicting the future, identifying new opportunities, and helping companies make better decisions.
Analyzing data in real-time and providing valuable insights into business operations.
Personalizing offerings, improving customer experience, and increasing customer loyalty.
Identifying potential risks and fraud in real-time.
Making AI-powered analytics tools affordable for smaller companies to compete with larger ones.

Real-time data analysis and decision-making are essential for businesses to keep pace with the fast-changing market. AI algorithms analyze customer feedback and social media sentiment, providing valuable insights for improving marketing strategies and product offerings. Businesses use AI-powered analytics to personalize marketing campaigns and improve customer experiences, leading to higher conversion and loyalty.

business analytics with AI image — **The tech is available but do you have the talent to use it?**

Predictive analytics and forecasting. AI algorithms can interpret large volumes of data, generating insights that help businesses make informed decisions. With predictive analytics, businesses can understand customer behavior, optimize inventory levels, and identify new market opportunities.

Helping companies identify potential risks and fraud in real-time to detect any unusual activity that may indicate fraud. This is important in today’s highly competitive business environment, where fraudsters are always looking for new ways to exploit vulnerabilities. By detecting and preventing fraudulent activity in real time, businesses can save money and protect their reputation. Thanks to AI, businesses can stay ahead of potential risks and fraud, giving them a competitive advantage.

AI is changing the way businesses handle mundane or repetitive tasks. Chatbots and personalized recommendations are helping businesses interact with customers, providing 24/7 support and tailored products to customer preferences. AI-powered analytics can automate routine tasks and identify inefficiencies, leading to cost savings and revenue growth.

AI is changing business analytics in significant ways, enhancing decision-making processes, improving customer experiences, and increasing profitability.
Where it leads us is anyone’s guess. Businesses that embrace AI-powered analytics can leverage it to drive growth and achieve their goals.
Interested in finding out what a digital transformation would look like for your business? Or not sure where to start? Then reach out to us at Colaberry, our only business is data and we have everything you need to start or finish your digital transformation. Under budget and on time.

Andrew “Sal” Salazar
682.375.0489
[email protected]

Why Your Company Should Reconsider Third-Party Staffing

The business world is always competitive and companies are always looking for ways to cut costs and improve their bottom line. Costs and the fact that they have an internal sourcing team are why your company may shy away from using outside staffing firms. Valid points? Like most things, the right tool for the right job should be the deciding factor.

The primary reason why your company should consider using third-party companies is cost savings. Yes, there is a fee for services however, when you look at the overall costs associated in terms of man hours and the focus of your team, it can be faster and cheaper. Especially if you agree that time is as important if not more important than money. More on time in a moment.

Niche firms like Colaberry have a database of the specific talents you need, so you get the right candidate for your specific needs. This access to specialized data analytics and science coupled with their ability to offer skills testing and handle vetting for your team are the real benefits of using outside resources like Colaberry.

The idea is that time is money. Partnering with a firm can speed up the hiring process, as they have pre-screened potential candidates and can quickly match them with your job openings. This can save your company valuable time and resources in sourcing and vetting.

Having the flexibility to scale up or down quickly, based on your project or department’s requirements can be particularly enough to justify using an outside company. Especially if your data department is implementing new technology and needs more assistance at the beginning of a digital transformation and less once implemented.

By outsourcing recruitment and management, you can free up valuable time and resources to focus on your core operations. Red tape can often be found as the reason why projects go over budget and miss deadlines. Letting another company deal with these barriers can lead to huge overall savings.

Staffing companies can help mitigate compliance and risk management issues by ensuring the workers provided meet relevant legal and regulatory requirements. This can help avoid costly legal and regulatory issues related to hiring and management.

Some consultants prefer to do contingency work as opposed to being full-time employees. By working with a staffing company to find the right fit for both project and permanent positions, businesses can increase employee retention rates and overall job satisfaction. The positive impact on your company’s culture and bottom line should be a factor in your decision.

Specialty companies like Colaberry have extensive knowledge in the data analytics industry, helping your business make informed decisions about workforce planning and talent acquisition strategies. This knowledge can be invaluable for businesses that don’t want to invest resources in these areas, especially for projects like digital transformation.

“Stepping over dollars to pick up nickels”

While some companies are stuck in their ways and are willing to step over dollars to pick up nickels, others remain agile and open to exploring outside staffing resources. If your company is staying competitive and wants to explore a specialized staffing firm like Colaberry, you should reach out. Data analytics and science are all we do, so you can focus on your main business priorities. We’ll help get you there inside of budget and on time.

To find out more about staffing your data team for either project/contingency roles or full-time hires reach out to Sal at 682.375.0489 or [email protected]

The Hidden Cost of Development or Technical Debt – Spotting And Stopping It

The Hidden Cost of Development or Technical Debt – Spotting And Stopping It

Technical debt is an often hidden cost a company incurs when a data department is forced to take shortcuts in a project or software development. It is the result of developers’ decisions to prioritize speed over long-term efficiency and stability and not having adequate resources to ensure overall quality. These decisions lead to the accumulation of errors, making the system harder to maintain and scale over time. Technical debt often accumulates unnoticed, as companies focus on delivering products quickly rather than addressing the underlying issues.

How to know if you are accumulating technical debt. What you should look out for:

Delayed project timelines: Technical debt can cause projects to take longer to complete, as developers have to spend more time fixing issues with patches and one-off solutions as they continue to build on it or use it for a longer period of time.
Decreased quality: Technical debt can lead to low-quality products, making it harder to maintain and scale the system over time.
High maintenance costs: Technical debt can become more expensive to maintain over time, as developers have to spend more time fixing bugs and maintaining the project.

Avoiding it altogether is the smartest solution however, it is often not noticed until it is a huge impediment to continued progress. One way to avoid it from the beginning is to use an outside firm like Colaberry to help with maturity assessments that evaluate the maturity of your data landscape and provide recommendations for improvements and prioritization. Using an outside company helps ensure you receive unbiased feedback and evaluations as they are not invested in any particular product or solution which is a possibility with internal evaluations.

These services provide businesses with the necessary expertise, tools, and infrastructure to be able to analyze the data and develop solutions that improve efficiency, stability, and scalability. By using managed data services, your businesses can focus on delivering features quickly while also ensuring that your systems remain efficient and stable over time.

**Having the resources to flex with a project or product needs can be the key to long-term success rather than trying to retain the talent you need on a full-time basis.**

Another solution to avoiding technical debt is to ensure you have an adequate amount of analysts who are skilled in the latest tech stacks to identify areas of technical debt and develop solutions that improve efficiency, stability, and scalability. When you choose Colaberry as a partner you get data talents who are skilled in using the latest technology such as AI & Chat GPT to ensure they can meet your product’s technical demands on time and on budget.

Technical debt can have significant consequences on your overall system’s health and competitiveness. By using managed data services to oversee your data department or hiring additional data analytics talent from Colaberry, you can prevent technical debt from accumulating in the first place.
Colaberry has a team of experienced data analytics professionals who can analyze complex systems and develop solutions that improve efficiency, stability, and scalability. Don’t let technical debt hold your business back; contact Colaberry today to discuss a complimentary maturity assessment or what specific types of talents you need to get the job done. Colaberry is your source for simple data science talent solutions.

Andrew “Sal” Salazar
[email protected]
682.375.0489
LinkedIn Profile

The Power or Pain of Retention: Your Super Power or Achilles Heel?

The Power or Pain of Retention: Your Super Power or Achilles Heel?

In today’s fast-paced business world, retaining talented employees has become one of the biggest challenges for companies. Retention is particularly important when it comes to data analytics departments, where skilled employees can make or break a company’s ability to stay ahead of the competition and the average tenure is 2.43 years. In this article, we’ll explore how employee retention can be your company’s superpower because work life is different than it was just a decade ago.

Employee retention is particularly important in data analytics departments where the field is constantly evolving, and skilled employees who have built up institutional knowledge are essential for staying ahead of the competition. Losing talented employees can set a company back in both the short and long term depending on the role and how in demand the skillset happens to be in the marketplace.

Benefits of Retaining Skilled Employees of retaining long-term employees are easy to list:

institutional knowledge and experience
Cost Savings-Replacing employees can be expensive, especially when it comes to highly skilled data analytics professionals.
Improved Productivity-Skilled employees who are familiar with the company’s data analytics processes and tools are more productive than new hires
Increased Morale-Hard to create a sense of team when you are suffering from churn

Now we get to the good part. How to retain top talent.
Training and opportunities for personal & professional GROWTH. In the last week, I’ve been approached by two Colaberry Alumni who have pretty good jobs with well-known companies to approach me for help finding another role.
My first question was why? More money was actually the second thing listed. They both felt stagnant in their roles as the company was stuck using legacy tech and they had no growth opportunities. Their companies did not offer or encourage any upskilling or continuing education.

**Colaberry can be a great resource for upskilling and retraining employees. Why find new talent when you can upskill your existing team?**

Offering competitive salaries and benefits packages is usually the first thing we think about when talking about retention. I believe there are 5 areas of a comp plan each employee looks at

Financial: Annual salary, bonuses, equity, healthcare, benefits, etc.
Psychological: The internal and external meaning you derive from your work. Your connection to the mission, product, work you produce, and praise you receive.
Social: Prestige, job title, and identity capital you receive.
Education: Skills, relationships, and learnings that contribute to your development as a person and professional.
Freedom: Your ability to work on your own terms. It’s the new normal and especially in the data industry time and location constraints can play a big role in an employee’s decision to stay or go.

A positive work culture; includes things like team-building activities, flexible schedules, and a supportive management style. This includes
Providing regular performance feedback to employees to help them understand their strengths and weaknesses. This helps employees feel valued and supported, which can lead to higher levels of engagement and job satisfaction.

Past performance, can be a huge indicator to help assess if a candidate will stick around or take off at the first offer of more pay. While the current sentiment is to not label job hoppers, sometimes it is what it appears to be. I believe these should be judged on an individual’s personality and story. The uncertainty of the last 5 years has been an unexpected adventure for many of us.

All of these take both time and effort, and there is no silver bullet. Setting yourself and the employee up for a long-term relationship takes planning and dedication in your HR and Learning departments. Finding the right formula can take some trial and error, but there are companies who have clearly figured out the formula and have implemented all of these strategies.

If your company needs to explore how it can offer upskilling or reskilling to help stay competitive Colaberry can be a great resource. Colabery Alumni boast an 80% interview to offer track record and have been in their role previous to Colaberry for an average of 4 years. Have you explored alternative options to sourcing your data talent? Contact us today to find out if there’s a solution beyond what you have now.

Andrew “Sal” Salazar
[email protected]
682.375.0489
LinkedIn Profile

The One Question to Ask Chat GPT to Excel in Any Job

Open AI chatgpt image with black background

The One Question to Ask Chat GPT to Excel in Any Job

Have you ever found yourself struggling to complete a task at work or unsure of what questions to ask to gain the skills you need? We’ve all been there, trying to know what we don’t know. But what if there was a simple solution that could help you become better at any job, no matter what industry you’re in?

At Colaberry, we’ve discovered the power of asking the right questions at the right time. Our one-year boot camp takes individuals with no experience in the field and transforms them into top-performing data analysts and developers. And one of the keys to our success is teaching our students how to use Chat GPT and how to ask the right questions.

Everyones talking about Chat GPT but the key to mastery with it lies in knowing how to ask the right question to find the answer you need. What if there was one question you could ask Chat GPT to become better at any job? This a question that acts like a magic key and unlocks a world of possibilities and can help you gain the skills you need to excel in your career.

Are you ready? The question is actually asking for more questions.

“What are 10 questions I should ask ChatGPT to help gain the skills needed to complete this requirement?”

By passing in any set of requirements or instructions for any project, Chat GPT can provide you with a list of questions you didn’t know you needed to ask.

In this example, we used “mowing a lawn”, something simple we all think we know how to do right? But, do we know how to do it like an expert?

Looking at the answers Chat GPT gave us helps us see factors we might not ever have thought of. Now instead of doing something “ok” using what we know and asking a pointed or direct question, we can unlock the knowledge of the entire world on the task!

And the best part? You can even ask Chat GPT for the answers.

Now, imagine you had a team of data analysts who were not only trained in how to think like this but how to be able to overcome any technical obstacle they met.

If you’re looking for talent that not only has a solid foundation in data analytics and how to integrate the newest technology but how to maximize both of those tools, then Colaberry is the perfect partner. We specialize in this kind of forward-thinking training. Not just how to do something, but how to use all available tools to do something, to learn how to do it, and more. Real-life application of “smarter, not harder”.

Our approach is built on learning a foundation of data knowledge that is fully integrated with the latest tech available, to speed up the learning process. We use Chat GPT and other AI tools to help our students become self-sufficient and teach them how to apply their skills to newer and more difficult problem sets.

But, they don’t do it alone. Our tightly knit alumni network consists of over 3,000 data professionals throughout the US, and many of Colaberry’s graduates have gone on to become Data leaders in their organization, getting promoted to roles such as Directors, VPs, and Managers. When you hire with Colaberry, you’re not just hiring one person – you’re hiring a network of highly skilled data professionals.

So why not take the first step toward unlocking the full potential of your data? Let Colaberry supply you with the data talent you need to take your company to the next level.

Want more tips like this? Sign up for our weekly newsletter HERE and get our free training guide: 47 Tips to Master Chat GPT.