Business Intelligence, Big Data Management, Data Science

Data Connectivity 2022

August 18, 2022

Data Connectivity 2022
The 2022 data connectivity survey pivots somewhat from prior years’ studies. Data connectivity and data integration are well established in the traditional on-premise computing environment. But we’ve seen that as organizations increasingly expand their domains to one or more cloud service providers, it is important to better understand the challenges and opportunities for connectivity presented by modernization initiatives.

Spotlight

Inteliment

Founded in 2004, Inteliment helps some of the most forward-thinking enterprises worldwide derive maximum business impact through their Data. Inteliment is recognized as a leading provider of Data Driven Analytical Solutions & Services in Visual & Predictive Analytics, Data Science, IoT, Mobility & Artificial Intelligence areas. We strive for the success of our customers through Innovation, Technology and Partnerships.

OTHER WHITEPAPERS
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atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

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The Value of Oracle Enterprise Manager for Managing Oracle Databases

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

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Protect personally identifiable information with data privacy measures

whitePaper | September 23, 2022

The COVID-19 pandemic times will go down in the annals of history as the ones which saw organizations face significant disruption in the way they executed their frontend business and backend operations. The pandemic waves have made organizations do the unthinkable – allowing their workforce to either operate exclusively from their homes, or at a minimum, distribute their working hours between home and office.

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Unlocking the Business Value of the Data Lake

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

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Implementing an Operational Data Layer for Product Catalog Modernization

whitePaper | September 27, 2022

The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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Spotlight

Inteliment

Founded in 2004, Inteliment helps some of the most forward-thinking enterprises worldwide derive maximum business impact through their Data. Inteliment is recognized as a leading provider of Data Driven Analytical Solutions & Services in Visual & Predictive Analytics, Data Science, IoT, Mobility & Artificial Intelligence areas. We strive for the success of our customers through Innovation, Technology and Partnerships.

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