Leverage On Data for Business Growth as a Start-up

This slide deck was for my talk with business professionals on leveraging data for business growth and as a start-up. You can find the talk here: https://youtu.be/d-1KNNPzeaQ

What you'll learn from the slides;

- The data available to your organization.

- Technologies for solving problems with such data.

- Business growth from data-driven decision making.

Key Point; Assess where your business is currently at, and then take the needed approach to get or use the right data for its growth.

Takeaway Quote: “The great companies of the present and future are those that are—and will be—built on their data.”

Transcript

1. Leverage on data for business growth/data leverage as a start-up
3. 1. The data available to your organization. 2. Technologies for solving problems with such data. 3. Business growth from data-driven decision making. What you’ll learn?
4. Data Technology (For deriving insights from data) Decision-making (For deriving value from insights) Business growth
5. Data “Small” Data “Big” Data Google Cloud Microsoft Azure Cannot fit into your regular spreadsheets or database. Most medium to large businesses are here. Fits into your regular spreadsheets or database. Most small businesses are here.
6. Any data you have (or will have) in your organization is meant to solve relevant problems your business faces; it is meant to provide value for the growth of your business. Essentially, data is meant to answer questions; your data is meant to answer your business most disturbing questions. Facts you should know...
7. Where should you start? 1. Organization Scale: First off, understand the scale of your organization. Would you consider your organization a large-scale or small-scale organization in terms size, customer-based, and operations? 2. Business Objective: What is the overall objective of your business according to your quarterly, yearly, or long-term objectives and strategies? 3. Understand Business Use-cases: Collecting the right data for your business needs and use-case mostly requires setting up a data strategy that aligns with the core objectives and mission of your business. 4. Know Your Data Source(s): Consider all current sources of data and where you think there is a possibility of getting data that relates to your business operation. 5. Planning and Costing: Consider how much it will cost you to keep storing existing data for the long-term (or short-term) plan, and costing for curating new data.
8. Technology (For deriving insights from data) Traditional Analytics AI-powered Analytics • Data Analysis • Data Analytics (Prescriptive, descriptive, and predictive analytics.) • Business Intelligence Examples; • Document Analysis • Video and photo analysis and recognition Machine Learning Predictive Technology Data Storage (Cloud or on-premise storage) 1 2 3
9. Traditional Analytics Tools • TABLEAU • MICROSOFT EXCEL • SAS • IBM SPSS • QLIK • And so on...
10. AI-Powered Analytics Tools and Platforms • TensorFlow • PyTorch • Cloud AI Platform • Microsoft Azure ML Studio • AWS SageMaker • Scikit-Learn (SciPy) • Google Cloud AutoML • And so on...
11. How will I know what approach and technology is right for my business? Short answers; 1. Understand your business needs. 2. Go from 1 to 3 (as described on the 8th slide). 3. Create a short and long-term AI adoption strategy with key business stakeholders.
12. Key points For true transformation and business growth to happen, it’s all about strategy! You need to make sure the approach and tech will meet a business need in the required time before adopting them.
13. Finally, decision-making with the data. After adopting the technology to derive the necessary insights from the data, your job is only complete if those insights can drive actions that improve your business. Successful adoption of AI technology for your business data involves hand-in-hand machine and human decision-making with insights derived from your data by the machine.
14. Assess where your business is currently at, and then take the needed approach to get or use the right data for its growth.
15. “The great companies of the present and future are those that are—and will be—built on their data.” - Stephen Oladele
16. Thanks for attending! Contact me: Gmail: steve.deve89@gmail.com Twitter: @nerdCyberArtist LinkedIn: www.linkedin.com/in/stephenolad ele/