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?

[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.

[03504]

1. process definition - SOP standard of procedure.

2. data governance is an internal framework that secures data and establish
data standards and policies that control access to data to avoid misuse.

3. tech stack management .

[KFigor]

1. How do YOU define process definition? Process definition are repeated steps that can always be taken to achieve a result. 
2. How do YOU define data governance? How data is mapped between systems to esnure integrity. 
3. How do YOU define tech stack management? Understanding the value of each system and keeping what is needed and eliminating the rest.

[Uchenna365]

1. How do YOU define process definition? -- for a small or medium size company, it would involve understanding why there has to be systems management if the business must grow and stay profitable.  the conversation would include using technology to identify important data points in the marketing ,sales & support processes.
2. How do YOU define data governance? -- THen there has to be guidelines on what type of data the business must prioritize, how all the data can be synced and accessed, permissions and access, the lingo ( dictionary) that it must operate with...etc.
3. How do YOU define tech stack management? - how many tools are we going to be using? are they important? how cost effective and beneficial are they? what type of complexities will it create and what complexties can it be pulled out to make it work?

[DougS]

I'd define the process with these actions and guideposts:

1. Look at guidance from sales management and enablement in the training program, it's framework.
2. Talk and meet with sales leaders to map what is actually happening in the course of business activities.
3. Develop a roadmap of the buyer's journey for each targeted persona. Being buyer centric.
4. Identify places in their journey where they need help from sales to move forward.
5. Map those stages out, define exit criteria. T's and C's of proposal agreed.
6. Provide guidance for how data moves and revenue moves through different systems, people, departments.
7. Look at the tools that support the need for visibility of the data. Build a value stream map.
8. Set up rules for changing, adding, deleting info, systems and processes for data collection, management, sharing.
9. Enforce those rules, with an eye on what the tool does for CX.
10. Be a steward for simplicity, which may mean use core system over point solutions with better capabilities for a specific function or task. Focus is high value, low friction tools, less customization.

[SLewis64]

1. Process definition best occurs through identifying what the end-result needs to be then reverse engineering the path to there as simply/efficiently as possible within the cultural boundaries of an organization (e.g. sometimes you have to allow for ineffieciencies or complexities to honor the cultural norms - i.e. timetables/capacity/scripting).

2. The governance occurs when aligning the data, sytems, and personnel to the needs of the org. (customer experience and revenue operations in this case)

3. The stack is the alignment of the tools to the systems, again matching use case to efficiency, as well as organization culture.