Dylan Anderson’s Post

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Bridging the gap between data and strategy ✦ Head of Data Strategy @ Profusion ✦ Author of The Data Ecosystem newsletter ✦ R Programmer ✦ Policy Nerd

How most companies 'attempt’ to become data-driven 😞🚫 TLDR hiring people without a strategy is doomed to fail Every data-driven company you see out there has a data strategy And there are two huge elements of this: 1) Data Management - Strategy around creating, managing, governing and using data within the organisation 2) Value Creation - Setting a vision for and understanding how data can enable business value And all underpinned by general data literacy and culture, but that is a whole other ball game Have you seen this type of short-term thinking around data hiring? Follow along for daily data, career and consulting advice & memes by hitting the 🔔 on my profile and commenting away #datastrategy #datascience #analytics #data #DylanDecodes

Dylan Anderson

Bridging the gap between data and strategy ✦ Head of Data Strategy @ Profusion ✦ Author of The Data Ecosystem newsletter ✦ R Programmer ✦ Policy Nerd

1mo

📌 If you are interested in thinking strategically about data (literally any topic within the industry), sign up to my newsletter as we explore The Data Ecosystem - https://thedataecosystem.substack.com/

David Tyler

Outlier - Making tech systems serve real business needs | Software development | Machine learning | Data science

1mo

Absolutely. hiring data talent without a real strategy is like buying ingredients with no recipe. Data-driven success hinges on a clear strategy that aligns data management with real business outcomes. I’ve seen too many companies bring on data teams without first defining how they’ll create value or why the data is essential to their goals. Data alone doesn’t drive decisions; it’s the strategy and culture behind it that make it impactful.

Ruthy P.

Strategy & Analytics 👩🏾💻 | Bridging Data & Business 🫱🏾🫲🏼 |Empowering Data Careers that Deliver Insights & Impact✨

1mo

Organizations need a strategy and systems that outlines how they are going to leverage data, in order to be “data-driven”.

Andy Werdin

I help Data Analysts build a career | Director of Analytics | Python Expert | Advocate for Soft Skills in Data | ex-Zalando

1mo

It's a common sight. Often the different data roles are hired and data is collected without a clear goal or strategy in mind. That leads to an inefficient use of these expansive team members and resources as they need to handle often conflicting requirements. It's the same as introducing a self-service BI Tool without investing in data literacy.

Cristian Salazar

I create dynamic charts about the stock market.

1mo

Building a data driven company requires a solid data strategy focused on management and value creation, not just hiring talent without a clear plan.

Jordi Izquierdo

Helping companies turn data into information, insights and decisions, CDO's sleep better and Data Scientists be happier

1mo

Spot on text + super fun video = Nailed post Congrats Dylan 👍🏻

Hanabal Khaing

Senior Enterprise Data Modeler Data consultant CDO CTO Law & BRD to Multidimensional legal compliance real-time anti-fraud Data Model, UML 60 SKILL SETS, 5-day data structure analysis $50,000, $12,500,000+ annual

1mo

You can’t use any of those roles in the video before employing a business analyst paired with a data modeler who organizes the data into a known structural strategy and implements data governance. Data modeling is prerequisite to all the roles shown in the video and the data engineer role is completely fake and commonly used to commit fraud by manipulating and faking data using python and fake data models. 80% of companies have no data strategy due to money laundering disguised as cost-cutting business analytics for BRDs and data modeling which averages $50,000,000 every 30 to 50 years. Data modeling should be part of the company 30 year stability plan. However, today, most CEOs cannot plan long-term. Most don’t even have a quartely plan because planning requires business intelligence, which is data dependent.

Martin Bubenheimer

Power BI Architect @ Daiichi Sankyo Europe GmbH

1mo

What I have seen is data strategy built on sand. If defining a data strategy is something formal, delegated to or driven only by IT, created with very limited involvement of business departments and limited attention from senior management, how likely will it be fit for purpose or even just accepted? Plus, this might not be the only challenge: If companies lack fundamental maturity to implement the data strategy, or even to implement anything, like no project management methodology is implemented, or you have a culture of every department does the things they want, the way they want when they want, then good luck with implementing any data strategy. And we are not even talking about available data and its quality yet. You need to start with some serious leadership, whatever is your necessary next step towards a data driven company.

Anton Witt

Driving Data Strategy & Transformation 🚀📈 @Mercedes-Benz.io

1mo

Data strategy? Nah, just hire a 'data wizard' and hope for magic. 😅 Funny how companies expect data miracles without a plan. It's like buying gym equipment and expecting a six-pack overnight. 

Salma Sultana

Data Communications Consultant | Data Storytelling & Data Visualization Trainer | Corporate Workshop Facilitator | Ghostwriter | ≈20 years of Business Strategy, Analytics, and Presentation experience for C-Suite

1mo

Occasionally, there’ll be this underpaid, but really smart employee who will quietly observe the company hiring different data professionals without any clear strategy. This individual will watch as the business keeps faltering, while leadership teams question why their data strategy isn’t working and what’s missing from the equation. Then this person will feel pity, and one day move on to a better company where data hiring is done the right way.

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