How do YOU define process definition, data governance, and tech stack management?

[mbarba]

You've probably heard it said a million times that data-driven decisions are the best decisions. However, creating and keeping good data isn’t always an easy thing to come by.

There are three main areas you need to invest in if you're going to have good data: process definition, data governance, and tech stack management.

Here’s what I’d love to hear from you:

1. How do YOU define process definition?
2. How do YOU define data governance?
3. How do YOU define tech stack management?

[KimTenove]

1. Process Definition: identifying and outlining the steps and strategies in place that guide a company's actions.

2. Data Governance: cleaning, auditing, and maintaining information so that all systems are updated simultaneously for all users.

3. Tech Stack Management: the process of auditing, integrating, and optimizing various platforms that work together or standalone to deliver on process requirements.

[USingh94]

1. Process Definition: It can be define as the strategy put in place for the whole company towards agreeing, how to measure the success, manage the customers and revenue accross all of the stages that they need to go through. If processes aren't well defined, it can mean accelerating in the wrong direction.

2. Data Governance: It can be define as an internal framework that manages the availability, usability, integrity & security of data and that establishes data standards & policies that control access to data.

In summary, Data Governance means what kind of framework to put in place to make sure the data is clean and trusted at the end of the day.

3. Tech Stack Management can be described as a way of tracking leads and opportunities. It helps to create visibility into how data and revenue moves through the organization.

[Abayomi95]

1. Process Definition: It can be define as the strategy put in place for the whole company towards agreeing, how to measure the success, manage the customers and revenue accross all of the stages that they need to go through. If processes aren't well defined, it can mean accelerating in the wrong direction.

2. Data Governance: It can be define as an internal framework that manages the availability, usability, integrity & security of data and that establishes data standards & policies that control access to data.

In summary, Data Governance means what kind of framework to put in place to make sure the data is clean and trusted at the end of the day.

3. Tech Stack Management can be described as a way of tracking leads and opportunities. It helps to create visibility into how data and revenue moves through the organization.

[JDZawaydeh]

Process Definition: 

Process definition requires that the fundamental building blocks of the process are in place. Often these can include somewhat manual steps as you are really just trying to get the process from point A to point B. It is very useful to map the process out on a process map, and from there you can work to automate data capture or any other tasks that are repeatable. 

Data Governance: the rules and regulations around who can view and access what data. It is not always appropriate for a BDR to be able to access the TCV of contracts in the quarter. Especially in a high growth setting, this may lead to confusion and otherwise more friction. Further, there may be some sensitive information that is sensitive. Governance also defines the rules that govern the structure of the data, so that data capture may be optimized and everyone fits into the same data model. 

Tech stack management: This means managing the active tech stack utilized for business processes. This means understanding utilization, cost, and value that is associated with each tool. The tech itself is important to reach a specific goal, however tech alone will not solve a process based or data governance based issue. 

[NVIJ]

Process definition for me is the step by step process every team knows or follows that gets you to the  company's objective.

Data governance requires that you have clean and accurate data that can be trusted to make informed decisions.

Tech stack management is basically managing and implementing all the right tech tools your team requires to assess data.

[Heni1]

1. Process definition: define goals and related elements required to reach the goals. 
2. Data governace: make sure that the way to retrieve insights stay simplistic, accurate and transparent. Impose restrictions if needed.
3. Tech stack management: 

• The tools are necessary 
• The functions of the tools do not overlap to much 
• Configure data flow across systems 

[CCelaya5]

1. Fix

2. Accomplish

3.Avoid

[gcruzpifano]

Process definition: What do you need to do to move the customer through the different phases and generate revenue. What data do you need to be able to do that?
Data governance: What are the definitions for the different data points, how is it collected and how is it reported on?
Tech stack management: What tools do you need to enable the processes and how fully or deeply do they integrate to allow the flow of the needed data?

[CBlandini]

Preccess: Data is valuable to collect

Data Goverance: Rules and regulations to house/mine data

Tech Stack: Well equip to carry out your data plan

[FrancoFerraro24]

Process Definition: Define which data is valuable to collect, and how you hope to generate insights from it. 

Data Governance: The rules and definitions that govern data management, recording, and analysis. This is about getting the team aligned.

Tech Stack Management: Making sure the tools make sense with the processes and customer experience.

[JessicaHead]

Process, data, and technology—form a collaborative framework designed to synergistically support and enhance each other, creating a robust foundation for achieving strategic goals.

[SCaniff]

Process definition: The overall step by step process that gets you to your company's objective.

Data governance: Ensuring that you have clean and secure data and the policies in place to keep it that way.

Tech stack management: The tech tools used to assess data towards your company's goals.

[CLobo1]

The three steps or pillars of systems management (process, data and technology) can be best defined as a collaborative support mechanism towards meeting a broader goal or objective, usually tied to attaining revenue or a growth objective for a company.

Process Definition – What is your goal and how do you want to get there?

Data Governance – What’s the data available and what’s missing in order to draw a pathway towards a SMART (Specific, Measurable, Attainable, Realistic and Time Bound) goal

Tech Stack Organization – How can a specific tool set or a system bring the necessary capability required to meet your goal defined in the first place?

To summarize, always start with the goal or value in mind before starting with the process, data identification and investing in tech.

[LBarbozaRey]

Process definition: is the first step in the System Management for Rev ops. Means clearly outlining how tasks are done, providing a structured framework.

Data Governance: is an internal framework that manages the availability, usability, integrity and security of data and that establishes data standards and policies that control access to data.

Tech Stack Management: is the CRM software platforms will help you improve your company process and customer experience.

[Dip1]

Process definition is a action taken from person a, person b and medium.

Data governance is focused on the medium which is the third side. 

Tech stack management is tools related to medium's operations

[Azharudeen]

1. Simply the step by step framework on how the things should be done. From Revenue planning till closure of a deal. Also keeping in mind about the post sale scenarios.

2. Data Governance is making the high quality data available throughout the system. The goal of data governance is to establish a framework that allows organizations to effectively manage and utilize their data assets while ensuring compliance with regulations, minimizing risks, and optimizing the value derived from data.

3. Tech Stack Management includes software, programming languages, frameworks, databases, and other technologies to maintain, analyse and report the data. Effective tech stack management ensures that an organization's technology infrastructure supports its current and future business needs while maintaining security, scalability, and cost-effectiveness.

[CCorpus]

Be ruthlessly simple. Maintain integrity. If you add it, you need to measure it. Where’s the proof of action for adding and measuring this data point? If we can’t track and measure the data we’re adding, what’s the point of it? Who is the data serving? Data that does not produce insight produces no value. Data that produces no value should be removed. A good way to determine if a data point provides value is to ask “What are you looking for? What do you want to know?”

[Dyrrachium]

Process definition as the first step in systems management is about clearly outlining how tasks are done, providing a structured framework. The data governance as the second one, involves managing and securing data, ensuring its accuracy and responsible use through defined policies whereas the tech stack management (third step) is the strategic selection and maintenance of technology tools, creating a cohesive system that supports organizational processes and goals.

[CSaluper]

Process Definition: It's like a recipe for a task, a step-by-step guide on how to do something.

Data Governance: Taking care of data to ensure it's accurate, secure, and used correctly, with rules for data management.

Tech Stack Management: Choosing and maintaining the right tools (software and hardware) for a project.

[KDorton]

Process definition is the whiteboard step. This is where you plan out what the beginning goal and end goal are, then map out the process to achieve your goals. You aren't ready to put it in play, but ready to discuss what data points you need to make the process flow smoothly.

Data Governance is deciding which employees have control of the data.

Ask yourself:

Who is creating or adding information to your systems? Who has the ability to change or delete information? What data is pertinent and what information can be removed?

Then, input and enforce the rules. Keeping your data clean going into the system and managing access allows for good/clean data to work with.

Tech Stack Management is making sure that the tools and processes you have in mind or currently use are the right ones for the job! You may have to redefine or remove processes in place to make them more linear. You may have to add or remove systems as well. This is the time to gather a full list of tools your company is using, manage their usefulness, and make some changes.