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| Share Name | Share Symbol | Market | Stock Type |
|---|---|---|---|
| Globaldata Plc | DATA | London | Ordinary Share |
| Price Change | Price Change % | Share Price | Last Trade
|
|
|---|---|---|---|---|
| -2.50 | -1.21% | 204.50 | 11:50:39 |
| Open Price | Low Price | High Price | Close Price | Previous Close |
|---|---|---|---|---|
| 207.00 | 204.50 | 207.00 | 207.00 |
| Industry Sector |
|---|
| MEDIA |
| Announcement Date | Type | Currency | Dividend Amount | Ex Date | Record Date | Payment Date |
|---|---|---|---|---|---|---|
| 04/03/2024 | Final | GBP | 0.032 | 21/03/2024 | 22/03/2024 | 26/04/2024 |
| 31/07/2023 | Interim | GBP | 0.014 | 07/09/2023 | 08/09/2023 | 06/10/2023 |
| 27/02/2023 | Final | GBP | 0.183 | 30/03/2023 | 31/03/2023 | 28/04/2023 |
| 01/08/2022 | Interim | GBP | 0.077 | 08/09/2022 | 09/09/2022 | 07/10/2022 |
| 28/02/2022 | Final | GBP | 0.132 | 31/03/2022 | 01/04/2022 | 29/04/2022 |
| Interim | GBP | 0.061 | 02/09/2021 | 03/09/2021 | 01/10/2021 | |
| 01/03/2021 | Final | GBP | 0.116 | 25/03/2021 | 26/03/2021 | 23/04/2021 |
| 27/07/2020 | Interim | GBP | 0.054 | 27/08/2020 | 28/08/2020 | 02/10/2020 |
| 24/02/2020 | Final | GBP | 0.1 | 26/03/2020 | 27/03/2020 | 09/06/2020 |
| 29/07/2019 | Interim | GBP | 0.05 | 29/08/2019 | 30/08/2019 | 03/10/2019 |
| Top Posts |
|---|
Posted at 01/8/2023 13:12 by wad collector Well volunteered...IC article at w/e looking at AI and concluding DATA were potentially well positioned to benefit depending on how they respond. |
Posted at 27/2/2023 13:47 by boadicea Comparing DATA with CNIC which also reported today, their relative values seem to be seriously out of kilter. On this basis, DATA can hardly be reckoned as undervalued. |
Posted at 24/12/2022 10:16 by wad collector IC reviewed DATA again in their end of year AIM review @1175p. Still a cautious HOLD. Which repeats the advice in Feb at 1301p and Aug at 1075p. Which I suppose is consistent. Sort of. |
Posted at 29/11/2021 12:14 by neilrr Does anyone know what 1929 shares in TMN Group from 2007 translates to in DATA shares after any splits/consolidation |
Posted at 05/11/2021 08:34 by wad collector A tech company that actually pays a dividend and share price has doubled in 3 yrs. And yet...only one BB post in a year.Bizarre when some BBs get thousands of postings a month. |
Posted at 23/10/2020 12:52 by energeticbacker A growing amount of research suggests that the financial benefits of ESG investing are as strong as its societal benefits. Investor’s Champion considers how well ESG is playing out for smaller companies on AIM. BOO FDEV DATA HGM KWS |
Posted at 01/8/2019 14:29 by littleredrooster Annual revenues in the global cloud infrastructure market are expected to roughly triple over the next three years to $133 billion, led by AWS and Microsoft's Azure cloud businessAmazon Reigns Over Cloud Market 30/07/2019 11:48pm Dow Jones News By Angus Loten Amazon.com Inc. continues to dominate the market for basic computing resources that companies access online, largely by outspending its rivals on data centers and other physical resources, corporate tech executives and industry analysts say. Annual revenue from Amazon Web Services, or AWS, grew 27% last year to $15.5 billion, representing nearly half of the $32.4 billion in total revenues generated by providers in the global cloud infrastructure market, Gartner Inc. said in a report this week. Microsoft Corp., its closest rival, captured roughly 15% of the market, up from 12.7% in 2017. No other cloud provider broke 10%, the report said. By moving to the cloud, companies are outsourcing their computing needs: Cloud infrastructure services use their own data centers to provide companies with the raw computing components they have traditionally run in costly in-house data centers. This includes servers, storage, networking and other hardware that cloud-services companies offer on a pay-as-you-go basis. "AWS is a dominant leader in this space because of their size and scale, " said Chris Smith, vice president of cloud architecture at Unitas Global LLC, a Los Angeles-based hybrid cloud-services company that is a customer of AWS. He said AWS has "built an incredible ecosystem to support the variety and scale of needs required by their customers." Amazon's position shows that "scalability matters" for chief information officers and other senior enterprise information-technolo "Right now, AWS is the furthest in terms stability, scalability and product set," said Fred Lee, chief technology officer at online auto dealership Cars.com, an AWS customer. Amazon, a cloud market pioneer, on Tuesday launched a network of new data centers in Bahrain, raising the total number of what the company calls "availability zones" to 69 across 22 geographic regions. Each zone contains interconnected data centers. The sheer scale of Amazon's network of data centers provides users with ready and reliable access to secure computing power. The company said it plans to build nine new zones in Indonesia, Italy and South Africa. The expansion is aimed at meeting the rising demand from business customers for the computer capacity needed to deploy artificial intelligence, data analytics and other advanced capabilities, the company said. AWS customers include large companies such as Dole Food Co., Hess Corp. and McDonald's Corp., as well as thousands of startups and small businesses. Annual revenues in the global cloud infrastructure market are expected to roughly triple over the next three years to $133 billion, led by AWS and Microsoft's Azure cloud business, according to Forrester Research. Amazon last week reported $8.4 billion in sales by AWS in the latest quarter, a 37% increase from the year-earlier period. Operating income in its cloud-computing business rose 29% to $2.1 billion, the company said. Part of Amazon's dominance in the market is simply the result of deep pockets, Forrester says. It estimates that AWS spends billions of dollars every quarter building new data centers or expanding existing ones. Apart from Microsoft, most cloud-market challengers are struggling to keep up as Amazon pours more cash into its physical resources, according to Forrester. "We manage millions of customer interactions every day, so we need the ability to scale our IT environment," said Zviki Ben-Ishay, chief executive and co-founder of Lightico Ltd., a Tel Aviv- and New York-based startup that uses AWS to develop customer collaboration software for contact centers. Scale was also a key factor for Kevin Freiburger, director of identity programs at Valid SA, an identity management and biometric matching software maker based in Rio de Janeiro. He said the company chose AWS for a recent job to update Vermont's driver's license issuing system because its giant data-center network is able to automatically scale as demand increases, among other factors. "Our projects are a massive software undertaking and require instant access to infrastructure," Mr. Freiburger said. "We do not have time in a 12-month project to lose three months preparing the data center so that we can start deploying software," he said. Write to Angus Loten at angus.loten@wsj.com |
Posted at 29/7/2019 10:12 by littleredrooster We look forward to the second half of 2019GlobalData PLC Unaudited Interim Report 29 July 2019 GlobalData Plc Unaudited Interim Report For The Six Months Ended 30 June 2019 "Revenue growth drives further margin improvement" Financial Highlights -- Enhanced visibility on revenue, improved margin and strong operating cash flow. -- Group revenue increased by 18% to GBP88.5m (2018: GBP75.0m). -- Organic revenue growth (1) of 10%. -- Deferred revenue (7) increased by 15% to GBP77.2m (30 June 2018 restated: GBP67.2m), which represented 13% organic growth. -- Adjusted EBITDA(2) increased by 53% to GBP22.3m (2018: GBP14.6m), with margin of 25.2% (2018:19.4%). -- Adjusted profit before tax(4) increased to GBP19.4m (2018: GBP12.6m). Statutory profit before tax of GBP5.2m (2018: loss GBP4.2m). -- Cash flow from continuing operations increase of 97% to GBP34.1m (2018: GBP17.3m). -- Interim dividend increase 43% to 5.0 pence per ordinary share (2018: 3.5 pence). Operational Highlights -- Our financial results demonstrate our progress towards becoming a world leading data and analytics business, with a proven business model. -- Continued product investment has focused on an enhanced user interface and integration of additional data sets and tools within our multi-industry platform, to give our clients a richer experience with greater insight. -- Integration of the Research Views businesses has been successful and our shift to a single product platform and centralised operating model is now complete. Mike Danson, Chief Executive Officer of GlobalData Plc, commented: "The first half results reflect the product development and integration since the acquisition of Research Views in April 2018. Our vision of creating a differentiated world-class product, that is integral to professionals across the world's largest industries, has been consistent throughout our development. We look forward to the second half of 2019 in which we expect to further leverage the GlobalData platform, and we do so on the back of some very encouraging metrics in the first six months. Our results demonstrate the focus we have placed on our business model fundamentals and show the Group at an inflection point with further accelerated growth and margin improvement expected across the medium term." |
Posted at 17/6/2019 22:40 by littleredrooster Well, this is also nice.Jun 17 16:30 Globaldata PLC Share price change +60.00p % change 8.60% Share price 760p Market Cap £777.0m |
Posted at 16/8/2017 14:58 by littleredrooster hxxp://www.mesallianBy Jeff Berman M&E Connections August 15, 2017 AWS Exec: Machine Learning’s Undergoing a ‘Renaissance&# "NEW YORK — Machine learning is undergoing a “renaissance&# That’s because “the cloud has enabled machine learning and customers to overcome the single largest point of friction, which is almost always around scale,” he told the AWS Summit Aug. 14 during a keynote in which AWS also introduced the new machine-learning based security service Amazon Macie and announced new cloud service client wins that included Hulu. “When you’re working with machine learning and training machine learning models, you need tons and tons of data — the more the merrier,” Wood said. The concept is simple. “The more data you put in, the more likely it is that your model is going to be accurate,” he said. When you have all that data, you then “need to be able to train it at scale – typically using high-end” graphics processing units (GPUs), he said. “Once you train those models, you need to be able to perform predictions against them, also at scale, both in the cloud” and “at the edge through connected devices or on mobile apps,” he said. AWS has been “addressing these challenges for customers for over a decade,” he went on to say, noting that its customers have been “aggressively migrating everything out of their data centers up to AWS as quickly as they can,” and nearly all the new data “has been generated in the cloud by default.” Earlier in the keynote, Wood pointed out that “it’s never been cheaper, easier or more cost-effective for customers to be able to pull data from their program applications, their web applications, their IoT applications – even their data centers – and load it up onto AWS.” Once that data is in the cloud, “customers typically want to be able to get some value out of that data,” he said, explaining: “They want to be able to analyze and they want to be able to compute against it. They want to be able to ask questions and get answers back in a reasonable time.” Before, “inside the constrained walls of the data center” on premises, that was “extremely challenging” because companies were “stuck with a fixed set of resources unless” they wanted to make large capital investments, he said. So, customers typically “ended up being crammed inside that same box,” inside the walls of their data centers, he said. However, he said: “In the cloud, those data center walls – they just disappear. And so, customers can start to collect the data that they need, aggregate it at the right level and ask the questions which are truly important to their data.”" |
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