What we're about

Let's get together for

  • A larger network
  • A deeper connection with their passions
  • A sense of purpose
  • More friends
  • Job opportunities
  • New skills

We will meet once a month. Next meeting on January 31st at 9 am pacific. Will send out invitation.

This meetup is for entrepreneurs to participate and present a solution to the problem/problems they are solving as an entrepreneur. PowerPoint presentation 30 mins maximum.

Practice makes perfect and also makes us better prepared. 30 minutes presentation can prepare us to have multiple 30 seconds elevator pitches.

If you’re interested in presenting next let me know via telegram at https://t.me/db2db1Engage101

Looking forward to working with you!

Noorie

Upcoming events (1)

Engage 101 Workshop - Database Design & Development

Online event

In this meetup we will review fundamentals of data analysis, review data model to analyze.

We suggest attendees make a $20 donation to Father Joes charity. https://my.neighbor.org/take-action

Read this article to understand the importance of data analytics and data analysis. In our meetup we will review data, datasets, data components, building data hierarchies, viewing simple report, building charts and project business forecasts.

Zoom MeetingTime: Jan 31,[masked]:00 AM Pacific Time (US and Canada)Join Zoom Meetinghttps://us04web.zoom.us/j/7555... ID:[masked]Passcode: 0BLk67

Article: Automating Data Analysis Is a Must for Midsize Businesses October, 2021 HBR

As midsize companies grow, they develop data both structured and unstructured data that are too big for one person, or even a team, to manipulate and use effectively. And even if a company is currently deriving value from its data, the people doing the work might move on, leaving the business tasked with having to find, attract, and hire expensive data analysts in a hurry.

The data in midsize companies tends to be messy. Spreadsheets and plain-text files, are difficult if not impossible to integrate. It takes a lot of time and money to clean them up to make them useful. Poor-quality, disintegrated data can sabotage even the best initiatives, including AI designed to increase value and efficiency.

As Joe Pucciarelli, group VP and IT executive advisor at the market research company International Data Corporation (IDC), said in a recent Channel Company webinar, “Most organizations’ data sets are not in great condition. We talk about data and analytics as a strategy and priority, but the data isn’t ready to support it.…Most organizations, when they’re trying to solve a problem, the analyst who’s working on it typically spends 75%+ of the time…simply preparing the data.”

Data in a midsize business is typically messy and needs a lot of tidying before it can become useful. Another foundational activity is identifying which data is important and then scrubbing it. This can be slow work at first, and it’s not inexpensive, so find areas where the business can retrieve a payback in the first year. That will turn skeptics into believers.

Executives are not analysts. They lack the time, patience, and skills to do data analysis as an add-on to their everyday duties.

Only when your data is thoroughly prepared can you start thinking about AI. AI creates its own logic from an analysis of the patterns it discovers in the data. Although AI and machine learning are useful and exciting, both technologies need large datasets upon which to train, with confirmed positive and negative outcomes. After enough data cleansing and a few algorithm-based sweeps, most midsize companies will have a sufficiently large and useful dataset on which to train an AI model.

Article by:

Robert Sher leads Mastering Midsized, a consulting firm that partners with leaders of midsized companies to build strong business infrastructure needed to grow predictably and sustainably. His most recent book is Driving Midsized Growth: People.

Past events (12)

Sunday Coffee Talk

DeMi Cafe Cafe

Photos (1)