As the amount of organizational data around the globe grows, it becomes increasingly important for companies to develop comprehensive data retention policies or strategic plans. The growing impact of new data privacy and compliance laws, coupled with the importance of strong data security measures, makes having a comprehensive data retention
New tools are enabling organizations to invite and leverage non-data scientists – say, domain data experts, team members very familiar with the business processes, or heads of various business units – to propel their AI efforts. There are advantages to empowering these internal “citizen data scientists,” but also risks. Organizations
Many executives believe that all failure is bad (although it usually provides lessons) and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some failures are inevitable and some are even good. And successful
Companies can reap great benefits from digitalizing their sales organizations – that is, using technology, data, and analytics to improve the sales process. Done well, digitalization increases customer engagement, boosts the skills and performance of salespeople, and supports a more customer-focused business model. But digitalization initiatives are often plagued by
Just as people can develop skills and abilities over time, they can learn to be more or less ethical. Yet many organizations limit ethics training to the onboarding process. If they do address it thereafter, it may be only by establishing codes of conduct or whistleblower hotlines. Such steps may
The COVID-19 pandemic has increased the focus on the use of artificial intelligence (AI) across the life sciences organization, from R&D to manufacturing, supply chain, and commercial functions. During the pandemic, company leadership and management realized that they could run many aspects of their business remotely and with digital solutions.
It’s problematic when companies decide to embark on a digital transformation agenda without having a clear definition, let alone vision, for what it means. The fundamental meaning of transformation is not about replacing old technologies with new ones, or capturing high volumes of data, or hiring an army of data
We’ve all seen the signs in front of McDonald’s announcing “Over X Billion Served” and have watched the number rise over the years. But tracking how many burgers are sold every day, month, or year is a relic of the past. Today ask: Do we know where each consumer buys
Ryan Wright and Matthew Jensen have phished thousands of people over the past decade, and they’re not planning to let up anytime soon. The two aren’t hackers angling for valuable data or funds; they’re researchers working with companies, governments, and universities around the world to understand why we so often
With each passing day, there’s more news that the economy is weakening. Factory orders go down. Consumer spending decreases. The sub-prime shakeout continues. Inflation raises its ugly head. It is enough to make any manager shudder, but take a deep breath. Times are tough, but our economy has weathered crises
Technology now allows us to combine digital tools with physical space to create a modern digital workplace – one that uses the best capabilities of both. A New Digital Way Of Working During the global pandemic, when many of us were prevented from working in our usual offices for an
Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets far more than new toolsets or skillsets. This transformation – of culture, operations, and outcomes – begins with a broader consideration of three levels of customer purpose. First, big-P purpose describes the company’s role in the world.