Stephanie McReynolds @slangenfeld, VP of Marketing at Alation sits downs with Peter Burris and John Furrier at theCUBE NYC 2018 in New York, New York.
#CUBENYC #theCUBE #Alation
https://siliconangle.com/2018/09/28/plain-language-translator-makes-peace-between-business-and-data-science-cubenyc/
Plain-language translator makes peace between business and data science
Business people might logically incline that decisions should be based on data — but do they feel and act like they they should be based on data? The shroud around complex data science keeps line-of-business people and managers a step shy of total trust in data insights. Tools that explain in plain terms what data is good for and why it can close that trust gap, according to Stephanie McReynolds (pictured), vice president of marketing of Alation Inc.
“For us to close the final mile and get to real value out of the data — it’s a human challenge. There’s a trust gap with managers today,” she said.
Self-service tools let managers and business pull back the data-scientists-only curtain and get their own hands dirty. Familiarity with the whys and wherefores of data leads directly to greater readiness to pull the trigger on data-based business moves, according to McReynolds.
McReynolds spoke with John Furrier (@furrier) and Peter Burris (@plburris), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during theCUBE NYC event in New York. They discussed efforts to ratchet up data literacy with easy-to-use tools. (* Disclosure below.)
Googling for data science
A business stiff’s job searching through a company’s data assets should be as easy as Googling for a vegetarian BYOB, according to McReynolds. That is what Alation had in mind when it built its user interface.
“I think for customers, the most interesting part of this product is that it displays itself as an application that anyone can use,” she said. Users can click on search results for technical information about the data, metadata, and information on how its been used in the organization, notations, etc.
“We can actually give you a really good sense of how that data should be used in the future or where you might have gaps in governing that data,” she said.
What’s even more powerful is the recommendation engine that suggests data assets in plain language. “It’s kind of a cross between Google and Amazon,” McReynolds stated. For example, it may suggest, “‘Others like you may have used these other data assets in the past to determine revenue for that particular region’; ‘have you thought about using this filter?’ … ‘did you know that you’re trying to do analysis that maybe the sales operations guy has already done and here’s a certified report — why don’t you just start with that?'”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of theCUBE NYC event. (* Disclosure: Alation Inc. sponsored this segment of theCUBE. Neither Alation nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
theCUBE NYC 2018 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For theCUBE NYC 2018 | New York
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for theCUBE NYC 2018 | New York.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
theCUBE NYC 2018 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to theCUBE NYC 2018 | New York
Please sign in with LinkedIn to continue to theCUBE NYC 2018 | New York. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Stephanie McReynolds, Alation | theCUBE NYC 2018
Stephanie McReynolds @slangenfeld, VP of Marketing at Alation sits downs with Peter Burris and John Furrier at theCUBE NYC 2018 in New York, New York.
#CUBENYC #theCUBE #Alation
https://siliconangle.com/2018/09/28/plain-language-translator-makes-peace-between-business-and-data-science-cubenyc/
Plain-language translator makes peace between business and data science
Business people might logically incline that decisions should be based on data — but do they feel and act like they they should be based on data? The shroud around complex data science keeps line-of-business people and managers a step shy of total trust in data insights. Tools that explain in plain terms what data is good for and why it can close that trust gap, according to Stephanie McReynolds (pictured), vice president of marketing of Alation Inc.
“For us to close the final mile and get to real value out of the data — it’s a human challenge. There’s a trust gap with managers today,” she said.
Self-service tools let managers and business pull back the data-scientists-only curtain and get their own hands dirty. Familiarity with the whys and wherefores of data leads directly to greater readiness to pull the trigger on data-based business moves, according to McReynolds.
McReynolds spoke with John Furrier (@furrier) and Peter Burris (@plburris), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during theCUBE NYC event in New York. They discussed efforts to ratchet up data literacy with easy-to-use tools. (* Disclosure below.)
Googling for data science
A business stiff’s job searching through a company’s data assets should be as easy as Googling for a vegetarian BYOB, according to McReynolds. That is what Alation had in mind when it built its user interface.
“I think for customers, the most interesting part of this product is that it displays itself as an application that anyone can use,” she said. Users can click on search results for technical information about the data, metadata, and information on how its been used in the organization, notations, etc.
“We can actually give you a really good sense of how that data should be used in the future or where you might have gaps in governing that data,” she said.
What’s even more powerful is the recommendation engine that suggests data assets in plain language. “It’s kind of a cross between Google and Amazon,” McReynolds stated. For example, it may suggest, “‘Others like you may have used these other data assets in the past to determine revenue for that particular region’; ‘have you thought about using this filter?’ … ‘did you know that you’re trying to do analysis that maybe the sales operations guy has already done and here’s a certified report — why don’t you just start with that?'”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of theCUBE NYC event. (* Disclosure: Alation Inc. sponsored this segment of theCUBE. Neither Alation nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
