#89 - Enhancing Analyst Team Effectiveness Using the T7 Model of Teamwork

Words of Gratitude        

Editors Note by Lisema Matsietsi

Struggling with your team and unsure of the cause? The T7 Model of Teamwork presents a comprehensive framework to boost team effectiveness, especially in analyst groups. It tackles both internal and external factors, enabling leaders to improve performance, encourage collaboration, and produce superior insights. Whether addressing underperformance or striving for excellence, the T7 Model offers practical strategies to meet your goals. Applying this model can lead to a unified, proficient, and driven team ready to face intricate analytical tasks. I'm confident you'll find the model informative. Looking forward to our next meeting on Monday for another exciting newsletter edition. Stay well.

Enhancing Analyst Team Effectiveness Using the T7 Model of Teamwork

Team effectiveness is essential for delivering accurate and actionable insights in financial and business analysis. One influential framework for this purpose is the T7 Model of Teamwork, developed by Michael Lombardo and Robert Eichinger. This model outlines seven key factors that contribute to high-performing teams. In this article, we'll explore the history and origin of the T7 Model, discuss its application in dealing with underperformance, and provide practical tips for enhancing team effectiveness. Whether you're a novice analyst or a seasoned professional, understanding how to improve team performance can make a significant difference in achieving your goals... Read More

References

[1] https://www.atlassian.com/blog/teamwork/what-strong-teamwork-looks-like

[2] https://whatfix.com/blog/team-effectiveness-models/

[3] Grammarly contributed to this text by responding to these AI prompts: Prompts created by Grammarly - "Improve it"

Are you looking for an informative event to propel your analyst’s career?

Nollie Maoto is hosting an event designed to empower individuals with the knowledge, skills, and resources needed for successful careers in the rapidly evolving fields of technology, data, and analytics. This event aims to be a comprehensive guide for anyone interested in pursuing or advancing their careers in these dynamic industries.

The event will take place in a hybrid format, accommodating 100 in-person participants at a venue in Johannesburg, while also being streamed live online for a wider audience. It will be structured as a Q&A panel, where participants can pre-submit their questions to be addressed by industry experts during the first 45 minutes. The remaining 15 minutes will be an open mic session for real-time questions from the audience. The event is divided into two sessions: the first hour will focus on careers in technology, while the second, two-hour session will cover data and analytics careers.

A diverse range of career paths will be discussed, including Information Technology, Business Intelligence, Data Science, Data Insights and Analytics, Artificial Intelligence, Computer Programming, Software Engineering, Data Analysis/Engineering/Modelling, Data Management, Information Management and Governance, Data Privacy, and Information and Cyber Security. Attendees can expect to gain valuable insights into education, career advice, required skills, role experiences, qualifications, job market trends, and potential career paths. Additionally, the event will offer welcome drinks, food, and networking opportunities with after-event drinks at the venue, providing a relaxed atmosphere to connect with fellow professionals and industry leaders.

Book tickets for Tech Insights: A Tech, Data and Analytics Careers Q&A Event ( quicket.co.za )

Are you Working From Home or Remotely?

If not, did you know that as Analysts, we can tailor our work environments to suit our preferences, promoting a sense of autonomy and independence? Moreover, access to a global talent pool has expanded, enabling organisations to hire the best talent regardless of geographical constraints. Overall, remote and hybrid job models empower analysts to design their workdays more efficiently, reduce burnout, and foster a healthier work-life equilibrium, ultimately benefiting their well-being and job satisfaction.

Here are some resources you could use to search for your next analyst job.

1. Analyst jobs in South Africa | LinkedIn
2. Online Part-Time Work | Find Jobs Online On myjobwork24
3. Analyst jobs in South Africa | Pnet

Data Analyst (x2) - with SQL requirement

The team is excited to announce that we are currently recruiting for x2 skilled DATA ANALYSTS with SQL experience for one of our esteemed banking clients. As a Data Analyst in a banking environment, you will be responsible for interpreting and analysing complex data sets, providing valuable insights to drive strategic decisions, optimize financial operations, and support risk management. If you have strong SQL skills and a passion for data-driven insights, we want to hear from you!

Business Analyst

The team is seeking a driven and analytically minded Business Analyst to join IL MAKIAGE’s CX & Insights team. As a member of the team, you will both develop a deep understanding of our customer base and strive to give them the best experience possible, as well as partner cross-functionally to advise and support stakeholders across the brand (e.g., Revenue, Marketing, Product, International, Operations). You will have the unique opportunity to propel IL MAKIAGE’s most important pillars of growth and profitability to the next level by identifying, conceptualizing, executing and communicating priority business initiatives and complex analyses. Through developing a deep knowledge of IL MAKIAGE’s data and reliably conducting thoughtful analyses to tackle the company’s toughest challenges, you will be exposed to several high-impact initiatives within IL MAKIAGE and have ample runway to grow and mould your responsibilities based on personal interest. You will work directly with IL MAKIAGE senior leadership to lead all aspects of data analysis, insight generation, and performance tracking for many parts of the business.

Exploring Project Management Methodologies: Waterfall, Agile, Kanban and Others

We have all heard about Agile and lately Kanban in meeting rooms or team sessions. In case you have been wondering where all these terms are coming from. The short answer is that they are project management methodologies. Project management is the process of applying specific knowledge, skills, tools, and techniques to plan, execute, and complete a project within a certain scope, time, and budget. Effective project management is essential for the successful execution of projects, ensuring that they are completed on time, within budget, and to the desired quality standards. Project management is important because it helps teams achieve their goals and solve problems more efficiently and effectively... Read More

Revolutionising Financial Decision-Making: The Transformative Power of Predictive Analytics

In the fast-paced universe of finance, it is crucial to be able to make informed decisions on time. With the increasing complexities that organisations face in their financial reporting environments, predictive analytics and financial intelligence reporting provide a beacon of hope. This article explores the transformative insights gained from a case study, demonstrating the profound impact that adopting advanced analytics can have on financial decision-making... Read More

Activating Collective Genius with Data and Ai

Tune in to explore topics like integrating data strategy with business strategy, 'Cover my back' approaches, balancing risks in data and business, insights from deploying myGPT, harnessing your organization's collective intelligence, fostering the right processes and culture for AI success, and the current landscape of AI regulation. Key quotes include:

• "An AI strategy is ineffective without a corresponding data or business strategy, as they are fundamentally intertwined."
• "Our focus was on unleashing the collective intelligence. We aimed to empower everyone to experiment and identify the most promising opportunities."
• "We are transitioning towards a paradigm where the emphasis shifts from an abundance of reports and dashboards to essential knowledge. I prefer an intelligent model that analyzes all my data and highlights the five key performance indicators that require my attention, whether it's a data quality issue, a minor discrepancy, or something more critical that demands immediate action."
• "AI is an extraordinary technology with immense potential benefits, yet it also carries the risk of being misunderstood and overhyped. However, the issue often lies not with the technology itself but with its adoption within large organizations. Success depends on the workforce's maturity, the organization's readiness, and the alignment of processes and culture. Even the most advanced technology will fail without a conducive environment and a team that ensures the workforce is well-informed and processes are appropriately adapted."

Battling to Sustain the Culture of Innovation?

Booking.com was founded by a Dutch university student in 1996. It grew slowly for almost a decade, but by 2011, the company was generating more than a billion dollars in profits annually, making it the most financially successful digital travel market at the time. The secret to that accelerating growth was the company’s use of large-scale testing and experimentation. In a Harvard Business School podcast episode, Professor Stefan Thomke explains how the company created and sustained a culture of innovation that challenged conventional assumptions about management and process. Key topics in the episode include strategy, experimentation, innovation, travel, digital, and platform.

Data Integrity In AI: Combating Deceptive AI-Generated Outputs

In today's data-driven world, organizations face growing challenges related to the legitimacy of data, especially with the widespread use of advanced data analytics and artificial intelligence (AI). This includes issues such as AI-generated distortions and deceptive outputs, which can not only skew business insights but also undermine trust in AI technologies. In this article, I will discuss why it's crucial to address these challenges now and provide practical guidelines for decision-makers to enhance the reliability and effectiveness of their AI systems. While tackling data fraud and hallucination in AI poses significant challenges, these issues are solvable. Through careful data management, model training, and ongoing system accountability, organizations can significantly enhance the accuracy and practical usefulness of their AI systems. These steps not only improve the quality of AI outputs but also boost trust in AI among users and stakeholders, laying the foundation for more ethical and sustainable AI use in business.

How Can I Help Grow This Community?

We have been asked this question frequently by most patrons who see the work that we do and appreciate the time and effort invested so that you can be inspired to be an excellent expert analyst. There are many ways to help us grow into an effective organisation that develops expert analysts;

1. Encouraging co-workers and friends to subscribe to our bi-weekly newsletter to learn more about being an effective analyst.
2. Buying a 'Being An Analyst' book which is an essential guide to becoming not just an analyst, but a catalyst for success and a driver of organisational change from Amazon , Takealot , or books.beingananalyst.co.za
3. Train your team or engage your audience with analysis concepts and elevate their knowledge, decision-making and productivity. Reach out using [email protected] for training and here for speaking.
4. Grow your business with short-term, medium-term, and long-term analytics-based planning, monthly reporting, and big-picture data models so you’re always future-ready.
5. Sponsor a future issue of the ‘Weekly Analyst’ newsletter

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