It all begins with data… From providing patients with the highest quality of care, to accelerating research, improving clinical trials and optimizing efficiency, data is the foundation needed to drive the healthcare and life sciences industry forward.
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Data acquisition, analytics, and discovery: Manage various datasets with minimal extract, transform, and load (ETL) activity Burst computing: Employ virtual machines (VMs) to reduce overhead, time, and cost with security and reliability
From the trading pits of the past to the cloud of today, technology has always played a key role in driving ongoing growth and democratization of the financial markets. As the capital markets industry sees an increasing number of investable assets and significant growth in global liquidity, the exchanges that serve these markets need to ensure greater resiliency, accessibility, performance and security going forward.
To drive true digital and business transformation, a BI platform must enable innovative ways for companies to make better decisions quickly and with low human intervention. With BI critical to the vast majority of organizations, the planning, deployment, and leverage of a modern BI solution is essential to extract benefits from company data. In this white paper, ESG discusses the challenges of selecting the right modern BI solution, how to evaluate and evolve the platform, and empower employees for greatest value.
In this thought leadership brief, you will learn: How data and AI are creating new value across the manufacturing value chain What are the strategic areas of improvement for successful large-scale adoption How removing technological barriers empowers manufacturing engineers
Discover new ways to harness your data for real-time insights and actions that can: Improve customer acquisition and retention Drive better merchandising and assortment decisions Run operations and inventory more efficiently
We are generating more data by the day fueled by the increasing digitization of business and society. Further, the complexity and speed of data arrival is changing the ecosystem. This data, and its potential to drive better decision making, promises to deliver higher revenues, lower costs, and reduced risk to all types of businesses. However, the most valuable insights no longer come from straightforward sales, inventory, and personnel data.
Most organizations that are running SAP workloads on-premises know that migrating them to the cloud would help them gain agility, increase uptime, and reduce costs. What they might not realize is that the cloud is also a catalyst for the kind of organizational change that’s needed to thrive in today’s fast-evolving times.
Let’s build your migration plan, in 4 simple steps Inside, we outline four key phases of a successful cloud migration and share important considerations along the way: ASSESS: Identify your team, get an overview of your IT landscape, and decide which applications to move first PLAN: Choose the right migration strategies and solutions for your business and test performance in the cloud MIGRATE: Use a phased, agile approach that allows you to revert back to the on-premises configuration if necessary OPTIMIZE: Fine-tune your cloud environment to align usage with demand and implement cost controls and government tools
This whitepaper provides guidance on: Understanding the value of Google Cloud managed databases Managing services for maximum compatibility with your workloads Leveraging services that are compatible with the most popular commercial and open source engines, such as MySQL, PostgreSQL, and Redis Using robust tools and services to make migrations simple, secure, and fast with minimal downtime