![]() ![]() ![]() ![]() Mastercard Launches Cloud-based Analytics Platform for Financial Strategies.SAS and Neterium Partner to Deliver Next-Gen Screening Capabilities for Orange Bank.Google Cloud Kicks off Next ’22: Tomorrow Starts Today.Modak Releases Nabu 3.0 Data Orchestration Solution.Census Achieves Google Cloud Ready BigQuery Designation.Google Cloud Advances Digital Sovereignty and Cybersecurity Partnerships.Sight Machine Blueprint Enables Automated Data Labeling and Analysis of Manufacturing Data.Adeo Modernizes its Data Infrastructure with Datometry on Google BigQuery.Supply chain and operations are top data innovation use cases in 54% of manufacturing organizations surveyed, and 10% of retail businesses are data leaders who are more likely to report greater brand loyalty as well as other benefits of data monetization. In healthcare, data leaders make up 11% of the most data mature organizations. In the financial services sector, 79% have adopted AI and ML tools for their data innovation projects compared to 67% overall. Key findings of the addendum include how 20% of organizations in the public sector spend over a quarter of their IT budgets on data solutions and professionals, which Splunk says is well above the 8% cross-industry average. The report also features an industry-focused addendum that highlights unique challenges and outcomes. “Organizations that prioritize investments in collecting and using their data have full visibility into their digital systems and business performance, which makes it easier to adapt and respond to disruptions, security threats, and changing market conditions.” “Data-driven innovation gives you a massive edge,” said Ammar Maraqa, chief strategy officer at Splunk. Splunk says the organizations feeling the most pressure are also experiencing the most success, as 67% of data innovation leaders disclosed feeling a high degree of pressure compared to just 15% of beginners. Another insight uncovered is how businesses are feeling pressure to keep up with the explosion of data. ![]()
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