Você está trabalhando com uma nova equipe. Como você pode ter certeza de que todos estão na mesma página?

Hold a kickoff meeting where you can introduce team members, review the project scope and goals, discuss roles and responsibilities, and answer any initial questions. Make sure everyone leaves with a shared understanding. Create a shared document space (like a wiki or shared drive) to store key information like project plans, requirements, contact info, etc. Make it accessible and encourage team members to contribute. Define communication protocols - how often you'll meet or check-in, which channels you'll use to communicate, expected response times, etc. Document these so expectations are clear.

Once the goal and related objectives are known, roles and responsibilities agreement is critical in making sure there's no redundancy in work, and that everyone's aware of their expectations.

One thing I've found helpful when working with a new team is to establish clear communication channels and expectations from the beginning. Hold a team kickoff meeting to introduce everyone, discuss project goals, and define roles and responsibilities. Create a shared document outlining project timelines, milestones, and key deliverables. Encourage open communication and set up regular team meetings for updates, feedback, and problem-solving sessions. Utilize collaboration tools like shared project boards, messaging platforms, or video conferencing to facilitate easy communication.

As the new team manager, it is important to foster effective communication and ensure that everyone is on the same page. To achieve this, I would initiate regular team meetings to discuss project objectives, expectations, and progress. Encouraging open dialogue and active participation during these meetings will enable team members to share their perspectives and clarify any doubts. Additionally, implementing a shared document or project management tool can help centralize information and ensure that everyone has access to the same resources. Regular check-ins and clear communication channels will be key in aligning the team's goals and maintaining a cohesive work environment.

To promote seamless collaboration within a new team, these should be included, defining clear workflows, regularly acknowledging team members, and utilizing a centralized document storage system. Effective communication and soliciting feedback are also crucial factors in ensuring everyone is aligned with project objectives. Consistently providing progress updates and setting expectations can aid in keeping the team focused and motivated. Most importantly, establishing a shared understanding of the project's vision, mission, and desired outcomes is essential. By incorporating these strategies, a conducive and productive team environment can be cultivated, ensuring that all members are working towards a unified mission and common goals.

Working with a new team is always one thing that if not handled right, can make or mar the productivity of the team. In my experience, I have learnt to establish a system that gives you as a team lead the opportunity to understand the team members and effectively communicate the goals of the team. This would give you an opportunity to synchronize personal goals with the Team’s goals. The system that has worked for me is having One to One conversations. It is however important to note that these 1to1 conversations can follow the structured process of scheduling a call or a meeting, it can also follow a more relaxed and non-conventional process of having a simple conversation with the team members.

Data standards include acceptable quality. Maintaining an acceptable level of data purity requires a communal agreement about the tradeoff between detailed scrubs and availability. Keeping data reasonably fresh requires resourcing controls.

In my line of work, Data sources and guidelines have to be always confirmed by the client - (if the data is not a regulatory or an authority requirement.) design/project criteria/ guidelines will be established from the beginning and the design will be developed based on the approved criteria and in compliance with authority guidelines and facility operator.

My experience underscores the cruciality of this phase, often consuming over 60% of a data management project's time and effort. It starts with a deep understanding of the project requirements, and then defining the metrics and visualizations for a data-driven application, which shapes the identification of necessary data types and sources. In practice, as witnessed in many of my projects, a central data warehouse often becomes pivotal. Data from various sources, whether via API, SFTP, or other methods, converge here, connecting disparate data sources cohesively, making it compatible. It is crucial to ensure data cleansing, messaging, structuring, and defining standards and schema, aligning it precisely with project requirements.

The data source(s) should be defined, and whether they are delivered via Outlook email, or you have to go get them from another source. I recommend a folder for "data sources" then another for "project links". The Project links will be links to Teams, SharePoint, or any other locations are all in one location. This makes accessing all files easy for all team members.

Considering my years of involvement in this sector, I’d say choosing the right tools and platforms in data management isn’t just about the tech’s capabilities; it’s also about team dynamics. It’s crucial to balance functionality and user-friendliness. Tools that are too complex can hinder productivity, while overly simplistic ones might not meet all needs. Security and scalability are key, but don’t overlook the importance of a platform that integrates well with your team’s skill set and existing systems. Ultimately, the right choice boosts efficiency and collaboration, setting the foundation for a data-driven culture.

Choosing the right tools and platforms for data management depends on specific needs and the tasks you aim to accomplish. I'll focus on some of them: SQL is a fundamental tool. It is used in scenarios where data is stored in relational databases. It's ideal for performing complex queries. Microsoft Azure offers a comprehensive suite of cloud services, including data storage, computing, and analytics capabilities. It provides scalability, security, and flexibility. It is suitable for enterprises needing large-scale data storage, and cloud computing. Power BI due to its user-friendly interface, customization options, seamless integration with other MS products, advanced data connectivity, regular updates, scalability, and cost-effectiveness.

Echoing the perspective on the significance of selecting appropriate tools and platforms, my experience suggests that this is not merely a project-specific decision but an integral part of an organization's data strategy. Typically, about 75-80% of the tech stack is determined by assessing organization's overarching needs and vision. For eg., data collection tools, data processing methodologies, and frontend applications can and should be made in advance. For each specific project, the focus then shifts to evaluating the existing tech stack against the project's unique requirements, and analyzing what additional tools might be necessary to complement the existing infrastructure, thus ensuring the timely availability of the right resources.

Tools are the fun part. So many great visual options to help tell a story. Keep that story consistent within the tool so that for example, all the widgets use the same timeframe, region of data, etc. and show units clearly.

establishing the workflow and choosing the right tools from the beginning are critical. As these have both cost and quality impact on the final project/ product. the workflow and tools should have both technological advancement capability AND budgetary considerations while accepted within the organization for ease of use, quality of work, security requirements, etc. This helps to increase efficiency and ensures having a market edge.

In my experience, outlining data flows aka data maps across an organization is critical to ensuring everyone in the org understands where and how data is managed. In the past our team would map out the critical systems across the business, then take the key elements from those mappings (i.e. data types, sources, systems) and create an inventory of the data types, this can be done with a spreadsheet or via an inventory database tool. This enables an evergreen view of the data across the business.

This goes back to communication and not assuming people know where you are coming from with your policies. Secondly do not be afraid to make changes or admit what you were doing and how you were doing it was wrong and did not produce the results expected. You will gain more respect from your staff by admitting you made a mistake then if you become stubborn and force an unrealistic policy.

In my experience, creating a detailed data management plan and a clear data dictionary, enhances team understanding and consistency. Incorporating annotations and metadata added crucial context to the data processes. Regularly sharing and updating these documents with stakeholders supports transparency and trust, improves collaboration and reduces misunderstanding in data-driven projects. In large environments, ideally, there are processes established or automated that help keeping the documents up to date.

La estrategia no es solo para el DT, cada jugador debe conocer el estilo de juego. Diseñas el libro de jugadas para la temporada, documenta y comunica claramente cómo manejarás los datos: objetivos, fuentes, estándares, herramientas, y más. Piensa en esto como un "diccionario del equipo" donde cada término o jugada (elementos, atributos y valores de datos) está claramente definido. Cómo en el fútbol, usa los replays, comentarios y anotaciones para explicar tus análisis y pasos de gestión de datos. Compartelo con tu equipo y los interesados, al igual que el DT comparte la táctica antes del partido. Actualizalo, como si fueras ajustando la formación según la temporada avanza para asegurar de que todos jueguen buscando el mismo arco.

From my experience, the best way I have gotten teams and also business stakeholders to be the same page is by creating data maps. Data mapping outlines IT (source systems and data management tools and/or data maturity) + the business needs essentially creating a high-level "landscape view" which effectively documents and communicates information that is needed to align everyone across the board.

I have my own experience to share here. Firstly, it is not rocket science. Secondly, know that the team is there is attain a specific goal- Harness that. 1. Define clear roadmap as the team lead, qualitatively & quantitatively- Do this as joint effort with the team 2. Set achievable goals and timelines- again consult your team 3. Assign goals to the different team members as per their specific skill-set 4. Help your team skill-up, if necessary 5. Foster an environment of team-building and collaboration- Remember, it always happens from the top-down. Set examples, wherever necessary. 6. Hear your team! That’s it. An effective leader needs to only this. Rest, if you are an effective leader - trust your team, they will have your back.

El análisis post-partido es clave para saber qué funcionó y qué se puede mejorar. Así, revisar y perfeccionar la gestión de datos es como ver la repetición del juego. Usa el feedback, las pruebas o las auditorías como si fueran el análisis del partido para evaluar la efectividad de tus tácticas de datos. Observa las estadísticas y desempeño a través de métricas o dashboards, como revisar las jugadas destacadas. Aprende de las estrategias ganadoras y de expertos, al igual que estudias a los equipos rivales. Reconoce nuevas tácticas, tecnologías y tendencias: como incorporar un nuevo tipo de entrenamiento o una formación innovadora. Esto te mantendrá liderando el juego en la gestión de datos y asegurará que siempre estés jugando para ganar.

- Regular Team Meetings - Encourage Open Communication - Provide Training and Support - Clarify Roles and Responsibilities - Promote Collaboration - Celebrate Successes By implementing these additional strategies, you can further ensure that everyone on the team is aligned and working towards common goals effectively.

Uma dica prática: se estiverem utilizando o Power Query (tanto no Power BI quanto Excel), ativem os recursos de Data Quality e distribuição da coluna, no menu ‘Ver’. O que isso faz? 1) Qualidade da coluna: nos indica qual o % da coluna que está vazio, % de dados válidos e % de erros, caso eles existam. Ou seja, isso nos dá indícios de onde “atacar” para resolver o problema (ETL); 2) Distribuição da coluna: mostra um gráfico com a distribuição de frequência dos dados de cada coluna, além de mostrar a quantidade de valores diferentes e o n° de exclusivos. Ou ainda, também dá para habilitar o recurso de Perfil de coluna, no mesmo menu, que mostra algumas estatísticas descritivas da coluna selecionada.

When it comes to data, high standards support high quality outcomes. In my experience, it can be more impactful (and sustainable) to build the standards into deliveries as you go so that the value can be seen as part of an overall deliverable (not a separate compliance or regulatory activity). This makes the adherence to standards seem less onerous and just another part of doing good things with data. Data standards are a key part of building a data culture and getting people on board means making things as simple and accessible as possible!

A new team, means new people, so I would be keen to connect at the human level. How new comers are onboarded really depends very much on the company’s culture. A company with a strong culture, will have a great process. Having a clear strategy is key. Communicating the company strategy/strategies, the culture and expectations is very important. Empathy is king. In an era where digitization is a reality, the line between human and digital tends to blur and this is where we need to be careful. There are also the hybrid, remote work practice to consider. Each is unique, humanity being the base. We live in really exciting, disruptive times.

In today's world "Data" is the most precious asset. While there is an incredible amount of raw data available to all, the demand for data extraction, filtration, relevancy, and data management is growing exponentially. Data management techniques are an essential skill which allows an individual to understand and choose the right tools.

Everything is good, However, I would like to add 1 very crucial thing i.e. Increase your availability and be ready for anything comes to your side. Especially when your team is working in different shift timings.

This involves clear communication, establishing shared goals, and fostering a collaborative environment. Conducting regular team meetings to discuss project objectives, roles, and expectations helps clarify responsibilities and address any questions. Utilizing collaboration tools like Slack or Microsoft Teams facilitates ongoing communication and information sharing among team members. For example, setting up a shared document repository on Google Drive ensures everyone has access to relevant project documents and resources. By promoting transparency, fostering open dialogue, and providing the necessary tools for collaboration, team members can work together effectively towards common goals, ensuring everyone is on the same page.