We make decisions every day about who we hire, how we deploy them, what teams we put them in, what we have them working on. Then we sit in judgment of their performances. Every one of those decisions can be made better with data. Not all those decisions are equally important, so you don’t have to bring it to bear in all of them, but … [ Read more ]
Content: Quotation | Author: Bill Schaninger | Source: McKinsey Quarterly | Subjects: Human Resources, IT / Technology / E-Business
Wouldn’t it be useful if you had a checklist to make sure your search engine optimization (SEO) is Web-worthy in 2019—kinda like the massive checklists that airplane pilots have to make sure the plane takes off, gets to where it’s supposed to, and lands safely?
Now you do: a comprehensive SEO checklist from LeapFroggr, a mobile app and software development firm.
The massive infographic covers major components … [ Read more ]
Content: Article | Author: Vahe Habeshian | Source: MarketingProfs | Subjects: IT / Technology / E-Business, Marketing / Sales
Algorithms have taken a lot of heat recently for producing biased decisions. Should we be outraged by bias reflected in algorithmic output? Yes. But the way organizations respond to their algorithms determines whether they make strides in debiasing their decisions or further perpetuate their biased decision making.
Content: Article | Author: Jennifer M. Logg | Source: Harvard Business Review | Subjects: Human Resources, IT / Technology / E-Business
Companies gather and analyze data to fine-tune their operations, whether it’s to help them figure out which webpage design works best for customers or what features to include in their product or service to boost sales. Marketers, in particular, use data analytics to answer questions like this: To put people in a shopping mood, is it better to make the webpage banner blue or yellow? … [ Read more ]
Content: Article | Authors: Christophe Van den Bulte, Ron Berman | Source: Knowledge@Wharton | Subjects: IT / Technology / E-Business, Marketing / Sales
Today’s technology platforms are not just new versions of legacy systems. They allow you to design a completely new digital enterprise — as long as you follow these guidelines. For more insight, see “A Guide to Modernizing Your Company’s Technology.”
Content: Article | Authors: Leon Cooper, Milan Vyas | Source: strategy+business | Subject: IT / Technology / E-Business
New automation techniques can provide the first step toward continuous, tech-enabled redesign of critical operations—forming an intuitive ops-to-tech cycle in which tech improves ops, and vice versa.
Content: Article | Authors: Allen Weinberg, David Taylor, Federico Berruti | Source: McKinsey Quarterly | Subjects: IT / Technology / E-Business, Operations
The most valuable companies in the world have one thing in common: all are leaders in the platform economy. In a new book, David Yoffie and colleagues identify key strategies and tactics for success on digital platforms.
Content: Article | Authors: David Yoffie, Martha Lagace | Source: Harvard Business School (HBS) Working Knowledge | Subject: IT / Technology / E-Business
When looking at artificial intelligence from the perspective of economics, we ask the same, single question that we ask with any technology: What does it reduce the cost of? Economists are good at taking the fun and wizardry out of technology and leaving us with this dry but illuminating question. The answer reveals why AI is so important relative to many other exciting technologies. AI … [ Read more ]
Content: Quotation | Author: Ajay Agrawal | Source: McKinsey Quarterly | Subjects: Economics, IT / Technology / E-Business
In the midst of predictive analytics and machine learning, with big data sweeping across sectors and industries, the importance of small data cannot be overstated. Big data and machine learning concern themselves with correlation, not causation. Computers excel at precision, rigor, and consistency, but they are not designed to integrate social interactions across domains, or traverse data online and offline, or come up with a … [ Read more ]
Content: Quotation | Author: Howard Yu | Source: strategy+business | Subject: IT / Technology / E-Business
It can be difficult to discern how a mathematical model trained by deep learning arrives at a particular prediction, recommendation, or decision. A black box, even one that does what it’s supposed to, may have limited utility, especially where the predictions or decisions impact society and hold ramifications that can affect individual well-being. In such cases, users sometimes need to know the “whys” behind the … [ Read more ]
Content: Quotation | Authors: James Manyika, Mehdi Miremadi, Michael Chui | Source: McKinsey Quarterly | Subject: IT / Technology / E-Business
Companies can determine whether they should invest in blockchain by focusing on specific use cases and their market position.
Content: Article | Authors: Askhat Zhumaev, Brant Carson, Giulio Romanelli, Patricia Walsh | Source: McKinsey Quarterly | Subject: IT / Technology / E-Business
Companies should do two things to harness the power of analytics in their marketing functions. First, rather than create data and then decide what to do with it, firms should decide what to do first, and then which data they need to do it. This means better integrating marketing and IT, and developing systems around the information needs of the senior management team instead of … [ Read more ]
Content: Quotation | Authors: Carl F. Mela, Christine Moorman | Source: Harvard Business Review | Subjects: IT / Technology / E-Business, Marketing / Sales
Rotman School of Management professor Ajay Agrawal explains how AI changes the cost of prediction and what this means for business.
Content: Article | Author: Ajay Agrawal | Source: McKinsey Quarterly | Subjects: Economics, IT / Technology / E-Business
As recent McKinsey Global Institute research indicates, there’s a yawning divide between leaders and laggards in the application of AI both across and within sectors. Executives hoping to narrow the gap must be able to address AI in an informed way. In other words, they need to understand not just where AI can boost innovation, insight, and decision making; lead to revenue growth; and capture … [ Read more ]
Content: Article | Authors: James Manyika, Mehdi Miremadi, Michael Chui | Source: McKinsey Quarterly | Subject: IT / Technology / E-Business
We see a paradox in two important analytics trends. The percentage of marketing budgets companies plan to allocate to analytics over the next three years will increase from 5.8% to 17.3%—a whopping 198% increase. These increases are expected despite the fact that top marketers report that the effect of analytics on company-wide performance remains modest, with an average performance score of 4.1 on a seven-point … [ Read more ]
Content: Article | Author: Carl F. Mela | Source: Harvard Business Review | Subjects: IT / Technology / E-Business, Marketing / Sales
We’ve found that few enterprises fully recognize the value of data, data governance, and data hygiene. Data is cash, and it should be treated like cash. You need a data P&L.
There are really three kinds of data. First-party data is your own company’s asset, which you are directly responsible for collecting. It may be from cookies, email subscriptions, orders, or sales receipts. Or it may … [ Read more ]
Content: Quotation | Author: Shelly Palmer | Source: strategy+business | Subjects: IT / Technology / E-Business, Marketing / Sales
The “Internet of Things” (IoT) is often described as a collection of connected sensors, but it is actually a much more complex concept. It involves not only the connection and integration of devices that monitor the physical world—temperature, pressure, altitude, motion, proximity to something else, biometrics, sound, images, and so forth—but also the aggregation, relationship, and analysis of the information those devices create in order … [ Read more ]
Content: Article | Authors: John Lucker, Tom Davenport | Source: Deloitte Review | Subjects: IT / Technology / E-Business, Trends / Analysis
Optimizing a product is always a mix of the grand and the granular. Gina Gotthilf, VP of Growth at language education platform Duolingo, knows that anything you send out to your users — even a dot — yields valuable data. So test it all, internalize every number, and use those results to inform what you do next.
By assiduously testing every notification, app screen and line … [ Read more ]
Content: Case Study | Author: Gina Gotthilf | Source: First Round Review | Subject: IT / Technology / E-Business | Company: Duolingo
While IoT-enabled advanced analytics could be worth trillions to manufacturers, turning insights into outcomes requires more than just the right technology.
Content: Article | Authors: Mark Patel, Richard Kelly, Subu Narayanan | Source: McKinsey Quarterly | Subjects: IT / Technology / E-Business, Operations
Enterprise Social Software (ESS)-enabled communities can contribute significantly to decision making, but how well they contribute depends on the type of decision being made and the role given to ESS. Deploying online communities to democratize decision making is very conducive to enhancing operational and tactical decisions in terms of identifying and including the “right” stakeholders and decision makers impacting work practices, as well as gaining … [ Read more ]
Content: Article | Authors: Chris Vialle, Eoin Whelan, Rick Aalbers, Salvatore Parise | Source: Ivey Business Journal | Subjects: IT / Technology / E-Business, Management, Organizational Behavior