Insights from Chrysalis

VIDEO

Your smart systems data is awesome. Now make it more accessible to City Leaders.

Data is pouring in from your smart systems. But City Leaders don't see the benefits because they don't have time to hunt through dashboards. Here's the fix for that.

Article

Why You Should be Humanizing Your Data

Humanize your data. See the lightbulb effect. People who weren't interested in charts and analytics suddenly realize what the data can do for them. They begin asking "I wonder what the data says?" and you make the transformation into a truly data-driven enterprise.

READ MORE >

Video

A Smarter Way to Communicate Smart City ROI

Proving Smart City ROI to stakeholders is essential. But distilling the avalanche of data down into useful insights is an enormous challenge. There's a smarter way to communicate with constituents, with the appropriate level of complexity, and designed explicitly for them.

WATCH VIDEO >

Video

Low analytics adoption rates? Change the resister mindset in 90 days.

Persuading resistant, reluctant employees to adopt your superb new analytics platform may require a new approach. Simply providing a great tool that delivers important insights doesn't guarantee engagement.

WATCH VIDEO >

Video

Part 1: Introduction to the Last Mile Problem in Analytics

This first video in the series explores the nature of the Last Mile Problem in Analytics. Companies have spent extensively to power up sophisticated analytics & BI dashboards, yet they are going unused. We briefly explore what’s happening and why, and look at a solution architecture.

WATCH VIDEO >

Video

Part 2: High Level Look at Solution Structure

This second video in the series examines the solution framework, which focuses on taking analytics “beyond the dashboard”. By curating key findings and delivering them in new ways, non-users can become users.

WATCH VIDEO >

Video

Part 3: A New Perspective on Visualization

This third video in the series looks at the Visualization step in the solution, and explores the Dos and Don’ts of delivering visualized findings outside the dashboard.

WATCH VIDEO >

Video

Part 4: Articulation: Putting Data Findings in Context

This fourth video in the series delves into the critical Articulation step in the solution process, explaining the importance of putting analytics findings in context, and in the language and terminology of each internal user group.

WATCH VIDEO >

Video

Part 5: Finishing and Delivering Findings

This fifth video in the series covers how to design analytics deliverables to captivate internal audiences, and deliver them in formats and channels that fit seamlessly into their habit patterns and workflows.

WATCH VIDEO >

Video

Part 6: Wrap-Up and Key Takeaways

This final video in the series wraps up the art and science of Data Articulation, offering a summary look at solving the Last Mile Problem in Analytics.

WATCH VIDEO >

Video

Low Engagement With Analytics Tools

Analytics and BI platforms are hugely valuable business tools. But they're wasted if only a few personnel are using them. We can help.

WATCH VIDEO >

Article

The Data Articulation Layer

There’s a “last mile” problem in the data world, and it’s one of the main reasons that many companies don’t feel their investments in data visualization and data science are paying off.

READ MORE >

Article

A Different Perspective on Becoming (Big) Data Driven

We recently reviewed the 2019 NewVantage Partners Big Data and AI Executive Survey results, and have some thoughts. This recent survey yields some interesting – but frankly not surprising – findings.

READ MORE >
 
News from the Web
Benjamin Freed | STATESCOOP (March 15, 2019)

'Smart cities' contemplate turning big data into big money

As the vast amount of data being created by smart cities raises a host of questions about what cities should do with all of it, there is one potentially lucrative solution: selling it.

READ >
Cassie Kozyrkov | Harvard Business Review (February 4, 2019)

What Great Data Analysts Do — and Why Every Organization Needs Them

The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics. When teams can’t get their hands on a three-in-one polymath, they set their sights on luring the most impressive prize among the single-origin specialists. Which of those skills gets the pedestal?

READ >
Brian Gormley | Wall Street Journal (February 3, 2019)

Health Startups Take Down Data Silos That Block AI Adoption

The medical field’s lofty dreams of unleashing the power of artificial intelligence have set off a race to rework the way health-care specialists make use of their data. Although technology exists to make AI a potent tool, there is a snag.

READ >
Gary Smith | WIRED (February 2, 2019)

The Exaggerated Promise of So-Called Unbiased Data Mining

Nobel laureate Richard Feynman once asked his Caltech students to calculate the probability that, if he walked outside the classroom, the first car in the parking lot would have a specific license plate, say 6ZNA74.

READ >
The Economist (February 1, 2019)

The world’s most valuable resource is no longer oil, but data

Regulating the internet giants. The data economy demands a new approach to antitrust rules. A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil.

READ >
Josh Constine | TechCrunch (January 23, 2019)

Anchorage emerges with $17M from a16z for ‘omnimetric’ crypto security

I'm not allowed to tell you exactly how Anchorage keeps rich institutions from being robbed of their cryptocurrency, but the off-the-record demo was damn impressive.

READ >
Josh Constine | TechCrunch (January 23, 2019)

Doughbies' cookie crumbles in a cautionary tale of venture scale

Doughbies should have been a bakery, not a venture-backed startup. Founded in the frothy days of 2013 and funded with $670,000 by investors, including 500 Startups, Doughbies built a same-day cookie delivery service.

READ >
Randy Bean | Forbes (January 23, 2019)

How Data Became Mainstream: The Path To Chief Data Officer 4.0

Peter Serenita recalls a time when to work with data was considered a solitary pursuit that was shunted off to the backroom. This was long before the notion that working with data was considered the “sexiest job of the 21st Century”.

READ >
Deloitte (January 23, 2019)

The Evolving Role of the Chief Data Officer in Financial Services

The evolving role of the chief data officer in financial services: From marshal and steward to business strategist

READ >
Kimberly A. Whitler | Forbes (January 23, 2019)

Why Financial Institutions Are Turning To CDOs To Generate More Value Out of Data

In a conversation recently with MicroStrategy CMO Mark Gambill, he walked through the rationale for the rise of a newer type of role—the Chief Data Officer.

READ >
Simon Chandler | The Daily Dot (January 22, 2019)

Facebook Is Helping Husbands 'Brainwash' Their Wives With Targeted Ads

Imagine you’re married. Maybe you’ve been going through a stressful couple of months. Perhaps you’ve lost your job, or your current job is a nightmare...

READ >
Rhett Jones | GIZMODO (January 22, 2019)

Google Threatens Pulling News From EU Over Copyright Legislation

The European Union has spent the last year working on a controversial overhaul of its copyright laws and was scheduled to finalize the proposal on Monday.

READ >

Copyright © 2019. Chrysalis Partners, LLC, All rights reserved.