IBM

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Facilitating the Digital Transformation in Banking

Banks are Leveraging Data Virtualization to Enable Greater Agility in Responding to Customer NeedsThe banking industry is undergoing a massive transformation, driven by the need to provide advanced customer service. In a study of 107 global financial services decision makers, Forrester found that improving the customer experience was the top business requirement that drove the companies’ transformation needs, followed by the need to integrate channels and the need to provide innovative new products and services.Such a transformation is not trivial, as it affects the entire institution, on...

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Customer Case Study: Cybermedia and Denodo

Significant strides in Cloud-based service delivery have been made in the last decade. Cloud security models have also become more robust and have propelled many agencies to take on migration and modernization efforts moving legacy and on-prem applications to the cloud. For Federal Civilian and Defense agencies this has become even more compelling now that many FedRAMP Moderate and FedRAMP High certified options are readily available from AWS, Azure, Google, IBM, Oracle, Salesforce and others, along with tools and security features for hybrid-cloud and multi-cloud deployments. CTEC’s...

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Customer Case Study: Seacoast Bank

In this video, Mark Blanchette, VP of Business Technology and Data Management at Seacoast Bank discusses why they chose the Denodo platform to create their logical data warehouse and the benefits they have realized.This customer case study video will cover:Seacoast Bank's specific business challengeHow Seacoast Bank leveraged the data virtualization to build their logical data warehouse to solve their business challengeWhat the benefits of data virtualization are in their particular caseWhy they eventually chose to implement the Denodo Platform over other vendors after their formal POCHow...

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Accelerate Your Business with a Logical Data Warehouse

Enhance your data warehouse with a logical data warehouse, for unbridled agilityBusiness depends on actionable intelligence, and for years this has been furnished by business intelligence tools, which pull the data from a data warehouse. Business stakeholders have come to expect that all of the relevant data is copied to the data warehouse, even if they sometimes have to wait a day for the latest data to arrive. The problem is, some of the newer sources of data, such as data from social media platforms, data from in-process transactions, or raw data about the movement of machines, is just not...

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Seacoast Bank Improves Business Process Efficiency Using a Logical Data Warehouse

Seacoast Bank is a growing community bank that has been in business for over 90 years, with growth coming both organically and through acquisitions. At the same time, the banking industry has seen major shifts in the way that customers would like to interact with financial intuitions driving a need for more sophisticated and integrated data. Seacoast embarked on a project that would give decision makers a holistic view of its entire banking operations. This integrated view of its operations was used by the various Seacoast departments to assist with risk mitigation, enhanced customer service...

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Enterprise View of Data with Semantic Data Layer

Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is integrating the silos using a semantic data layer.

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Modernizing Data Architecture using Data Virtualization for Agile Data Delivery

In this session, Dave Kay, Data Consultant within the Analytics and Architecture group at Zurich Insurance, explains how Zurich is modernizing their data infrastructure using data virtualization to accelerate delivery of mortgage insurance and intra-day operational reports to business analysts, salespeople, underwriters, managers, and actuarial staff.

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Achieve Value and Insight with IBM Big Data Analytics and Denodo Data Virtualization

Denodo´s partnership with IBM has resulted in solutions for integrating data in Pure Data System for Analytics (Netezza) and IBM's BigInsights. After extensive collaborative technical work and optimization, the performance for the Denodo Platform was tested in the IBM Labs and it exceeded expectations in all three use patterns initially contemplated to be co-marketed by IBM. These patterns are described in the IBM solution brief.

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