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8 strategies for accelerating IT modernization

CIO Business Intelligence

Here veteran IT leaders and advisers offer eight strategies to speed up IT modernization. Create a framework to guide decisions Michael Bradshaw, who has held the CIO position at Kyndryl since the IT service management company spun off from IBM in 2021, developed a framework around five core guiding principles to facilitate key IT decisions.

Strategy 140
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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Build A Clear Strategy.

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Rockwell Automation makes shift to ‘as-a-service’ model

CIO Business Intelligence

That’s why, in the summer of 2021, Chris Nardecchia, SVP and chief digital and information officer, set about enabling a transformation that would change Rockwell’s business before it lost ground to a new class of hungry competitors.

Modeling 105
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Incremental Strategies to Move Your Data Strategy Forward Remove Obstacles to Unlock Possibilities in Financial Services

Cloudera

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 101
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Enablers of a Sustainable Digital Strategy

CIO Business Intelligence

Climate change concerns have already impacted data center strategies. Take Singapore as an example, where climate change concerns have already impacted data center strategies. It is now being built into IT consumption models providing capacity-on-demand platforms. Target underutilisation.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.