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How CareSource ditched its data silos

CIO Business Intelligence

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

Data 94
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A Customer Centric Architecture

Future of CIO

Customer Centricity should always get reflected in organizational design or architecture. Ensure the "traceability" of the transformation of these business requirements to make them handled by the proper functions (of processes) and its related information systems. It starts with the business requirements definition and requirements.

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Integration is Essential to Growth Hacking

IT Toolbox

Growth hacking requires an organization to align content marketing, marketing automation and marketing analytics systems towards the goals of hyperactive growth through marketing. Growth hacking requires integration of core systems and a flexible marketing integration architecture with hooks to enterprise systems.

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TreeHouse Foods’ new enterprise IT strategy drives supply chain success

CIO Business Intelligence

In leading platform depth, we’re finding ways to bring the companies we acquire, like Farmer Brothers, into our enterprise systems as seamlessly as possible. We received enough of that kind of feedback and realized people weren’t using the systems as we intended. What’s is your target architecture?

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CrowdStrike incident has CIOs rethinking their cloud strategies

CIO Business Intelligence

The widespread disruption caused by the recent CrowdStrike software glitch, which led to a global outage of Windows systems, has sent shockwaves through the IT community. To mitigate this risk, CIOs are likely to explore multicloud or hybrid cloud architectures, distributing workloads across multiple platforms. Microsoft said around 8.5

Strategy 143
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Digital Agility Gets a Boost with Identity Management

Fountainhead

Here's why: IAM systems have traditionally been embedded into apps and frameworks (think: React, Angular, JS, etc.). And when it comes time to integrate those apps with other identity-driven systems, the approach can create a massively inflexible infrastructure. It also allows the scaling of particular components (e.g.

Agile 162
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Generative AI in enterprises: LLM orchestration holds the key to success

CIO Business Intelligence

Other typical components required for an enterprise system are access control (so that each user only sees what they are entitled to) and security. These challenges include: Data security and privacy: The critical issue of safeguarding data as it moves and interacts within the orchestrated system cannot be overstated.