Big data has started to change the world in a lot of ways. Human beings are creating 2.5 quintillion bytes of data every single day.
As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree. The Internet is one of the most significant facets of our lives to be touched by data analytics, machine learning and other forms of new data technology.
Many moons ago I used to take inquiries that were oriented around the use of Master Data Management in Mergers and Acquisitions (M&A). So much so that we wrote notes years ago about how MDM helped that effort, by helping speed-to-value post transaction by reconciling common clients, common suppliers, and common assets, etc. We have come a long way since then. During 2020 and in association with the response to Covid-19 Data and Analytics, addressing many chronic business issues and decisions, helped as many of those issues and decisions became actuate.
LinkedIn saw an increase in digital creators during 2020 in its latest report.
To find the most in-demand jobs as we start a new year, LinkedIn examined its hiring data to find what kinds of occupations saw the most growth from April to October 2020 compared to 2019.
According to the report, many of these jobs saw an increase in response to the pandemic.
Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future:
By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed.
By 2024, widespread adoption of cloud will raise the CFO’s influence over the chief data officer’s (CDO) decisions due to explicit linkage of workloads to cost, bringing disruption to the CDO role.
We have talked about a number of changes that big data has created for the manufacturing sector. A number of manufacturers are relying more on analytics technology to streamline their operations.
Cloud computing involves using a network of remote internet servers to store, manage, and process data, instead of using a local server on a personal computer.
The cloud is currently transforming almost every aspect of modern manufacturing, from how products are designed and how customers use the products to how manufacturers operate and how they integrate into supply chains.
On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021.
Almost four years ago I wrote a long deep dive into Lisbon’s tech scene. So it’s great to check back in with both Lisbon and Portugal for a slightly briefer update on where it’s at.
As well-outlined by Stephan Morais, founder and managing general partner at Indico Capital Partners, Portugal has a very high quality of engineering talent at a competitive cost; an extremely high level of English language proficiency (compared to Spain, France, Italy); and a preference for launching product globally from day one.
Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management.
A decent AR (Accounts Receivable) management system is essential for the functioning of any business, no matter what industry you’re in. Making it easy and convenient for clients to pay you is crucial if you want to maintain good relationships with your key customers over the long term.
The always-on marketing machine is a high fixed-cost operation that is more akin to a manufacturing facility then a campaign creation department. This changes how marketing pursues operational excellence.
The Rise of Functional Alignment
It isn't the only way to structure your marketing organization, but more marketing leaders are (or would prefer to be) functionally aligned then by any other principle.
This makes particular sense when leaders leverage data and technology to automate more aspects of the marketing function.
“Responsible AI” is at the beginning of a long slog, while Cloud Data Lakehouses will supplement but not replace Data Warehouses or Data Lakes.