Every company wants to be data driven. Not only because it sounds good but because data delivers great insights in all aspects of your business. That being said, the idea of how to get there is widely debated. Should you focus on building reports or deriving analytics?
As we begin to re-open businesses and re-shape goals and future needs for organizations, it’s the perfect time to focus on ways to think efficiently, streamline processes, and work smarter, not harder!
As we look forward to the rest of 2020, we expect that oil and gas company investment in digitalization and innovation will continue – despite low oil prices.
We see one of these scenarios play out all the time: you have acquired a company and with it, new systems and you need to integrate your data; you have convinced your organization to move away from your current, often limited, software system to the best-in-class software system (congratulations); you have convinced your IT organization to move your database to the cloud; you are trying to move your application to a new environment, adopt a new platform, or technology; or you are moving systems and moving to the cloud all at the same time.
In the 20th century, oil was the most valuable commodity. In this century, it’s data. With AI, people use data in ways that were simply not possible before, opening up new areas of research, business, and opportunity. Using data, AI is able to run predictive modeling
When we talk about the need to digitize, it’s also important to note there is a recommended process and approach. We recommend these six steps to companies designing their digital strategy:
In the last decade, the United States healthcare system witnessed a mammoth transformation, moving away from a purely paper-based system to a digitized one. Now, around 96% of the country’s hospitals have
A shift is slowly starting – organizations are becoming more open to taking a journey that will deliver lasting benefits to their employees. By changing corporate training to focus on true learning, behavioral change, and financial impact
According to Gartner, RPA is on its way to mainstream – estimates say about 60% of companies with revenues greater than $1B have deployed RPA in some capacity. This number is expected to reach 85% by 2022. RPA spending currently stands at about $700M and RPA prices are expected to fall sharply.
I love how Blockchain experts paint the future: all of ‘us’ will be Blockchain-ed in some capacity and all physical elements, currencies, services, and even energy will be traded, shared, or tracked using Blockchain. Even our movements today can be made more secure with a Blockchain footprint. All material assets, from money to stocks to diamonds to art, will also be on Blockchains. Energy will be tracked, distributed, and traded via a Blockchain. Everyone will benefit from the transparency of the new universe if we move to this immutable form of managing data.
The world of information is at a tipping point. There is a wave of information about predictive analytics and AI that will change the way we eat, sleep, combat disease, prepare for weather events, and all matters large and small known to man. It is an exciting time if you are open to the change that will come about as a result of being able to anticipate and predict events.
2019 brings much promise to the world of Human Capital. With machine learning, predictive analytics, and AI coming more to the forefront, the future looks promising. Forward-thinking HR leaders will begin to harness the power of information, both macro, and micro, to drive more individualized developmental paths for their employee base. It is a hopeful and exciting time for the individual learners within corporate organizations.
Our CEO, Kristi Chickering, is known to walk into a room and say, “I give you permission to fail. I have your back.” For some of us, this is truly liberating. While for others, this can be confusing. What does failure mean for someone at work going through his or her daily routine? Failure is a part of experimentation and trying to do new things, or improve things, making things better, faster, cheaper and creating new strategies and solutions. Experimenting also means that the outcome will not always match up to expectations. All companies need to think about experimenting.
Every year, companies across the US spend an average of $70 billion on learning and development alone. This focus on L&D first came to fruition near the end of the great recession, and now studies suggest development and retention as the new mantra of the C suite. And yet, despite the monetary focus, L&D is still the first area cut during a corporate downturn, even today.