Digital Realty: Data Gravity Intensity impact on industries
Digital Realty, a global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions, has published version 1.5 of its . The latest study covers 53 global metros and assesses the intensity and gravitational force of enterprise growth data on 23 industries.
“As businesses undergo the rapid pace of digital transformation, understanding the impact of data gravity intensity will be a fundamental requirement for both enterprises and service providers to unlock data-driven opportunities,” said Tony Bishop, SVP, Platform, Growth and Marketing at Digital Realty.
“Data gravity is an impediment to enterprise growth that will affect businesses across industries around the world. The release of our Data Gravity Index DGx 1.5 exploring the impact of data gravity across more metros and key industries is designed to help enterprises develop a data-centric architecture as they combat digital transformation challenges.”
The index analyzed Global 2000 enterprise companies’ presence in each metro, along with GDP, population, number of employees, technographics, IT spend, average bandwidth and latency, as well as flows of data. Digital Realty conducted research between August 2019 and August 2020 and drew upon third-party data sources – including the World Economic Forum and United Nations, as well as consulting and market research firms.
Data Gravity’s Growing Impact on Key Industries
The industries expected to experience the greatest data gravity intensity include banking and financial services, manufacturing and insurance, all of which are expected to see rapid growth in digital acceleration, digital-enabled interactions and data exchange volumes globally.
Key findings across Forbes Global 2000 enterprises include:
• Data gravity intensity for banking and financial services firms will be exacerbated by regional growth in key banking and financial hubs.
• Large manufacturers are expanding their data and analytics capabilities, driven by the growth of in-home consumption.
• The insurance industry is expected to see data gravity intensify as digital-enabled interactions continue to increase in importance while key metros experience rapid growth in the volume of enterprise data exchange.
Regional Forecasts for New Global Metros
According to the expanded report, Jakarta, Indonesia is expected to generate the fastest growth in data gravity intensity, followed by Singapore, Rome, Hong Kong, Melbourne and Atlanta.
In addition, banking and financial services centres (such as London, New York, Tokyo, Paris, Hong Kong, Amsterdam, Beijing, Silicon Valley, Frankfurt, Toronto, Singapore, Washington, Charlotte, Sydney, Milan and Seoul) are expected to realise significant growth in the volume of enterprise data exchange.
“Data gravity continues to accelerate unabated, and so does the urgency of addressing it,” said Dave McCrory, VP of Growth, Head of Insights & Analytics at Digital Realty.
“We are expanding the findings of our Data Gravity Index to include an analysis of 23 industries and 32 additional metros to provide insights to help business leaders make better strategic decisions about where to locate their data.”
Digital Realty supports the world’s leading enterprises and service providers by delivering the full spectrum of data center, colocation and interconnection solutions. Digital Realty’s global data center footprint consists of more than 280 facilities in 49 metros across 24 countries on six continents.
SAS: Improving the British Army’s decision making with data
SAS’ long-standing relationship with the British Army is built on mutual respect and grounded by a reciprocal understanding of each others’ capabilities, strengths, and weaknesses. Roderick Crawford, VP and Country GM for SAS UKI, states that the company’s thorough grasp of the defence sector makes it an ideal partner for the Army as it undergoes its own digital transformation.
“Major General Jon Cole told us that he wanted to enable better, faster decision-making in order to improve operational efficiency,” he explains. Therefore, SAS’ task was to help the British Army realise the “significant potential” of data through the use of artificial intelligence (AI) to automate tasks and conduct complex analysis.
In 2020, the Army invested in the SAS ‘Viya platform’ as an overture to embarking on its new digital roadmap. The goal was to deliver a new way of working that enabled agility, flexibility, faster deployment, and reduced risk and cost: “SAS put a commercial framework in place to free the Army of limits in terms of their access to our tech capabilities.”
Doing so was important not just in terms of facilitating faster innovation but also, in Crawford’s words, to “connect the unconnected.” This means structuring data in a simultaneously secure and accessible manner for all skill levels, from analysts to data engineers and military commanders. The result is that analytics and decision-making that drives innovation and increases collaboration.
Crawford also highlights the importance of the SAS platform’s open nature, “General Cole was very clear that the Army wanted a way to work with other data and analytics tools such as Python. We allow them to do that, but with improved governance and faster delivery capabilities.”
SAS realises that collaboration is at the heart of a strong partnership and has been closely developing a long-term roadmap with the Army. “Although we're separate organisations, we come together to work effectively as one,” says Crawford. “Companies usually find it very easy to partner with SAS because we're a very open, honest, and people-based business by nature.”
With digital technology itself changing with great regularity, it’s safe to imagine that SAS’ own relationship with the Army will become even closer and more diverse. As SAS assists it in enhancing its operational readiness and providing its commanders with a secure view of key data points, Crawford is certain that the company will have a continually valuable role to play.
“As warfare moves into what we might call ‘the grey-zone’, the need to understand, decide, and act on complex information streams and diverse sources has never been more important. AI, computer vision and natural language processing are technologies that we hope to exploit over the next three to five years in conjunction with the Army.”
Fundamentally, data analytics is a tool for gaining valuable insights and expediting the delivery of outcomes. The goal of the two parties’ partnership, concludes Crawford, will be to reach the point where both access to data and decision-making can be performed qualitatively and in real-time.
“SAS is absolutely delighted to have this relationship with the British Army, and across the MOD. It’s a great privilege to be part of the armed forces covenant.”