article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

After parking nearby, the delivery man’s phone GPS continues to stream data to the UPS center, giving a constant account of how long the delivery is taking. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275
article thumbnail

The 10 biggest issues IT faces today

CIO Business Intelligence

1 priority within the CIO function is cybersecurity strategies, up from the second spot in 2021. Angel-Johnson says she, too, has a heightened level of concern around security issues and more specifically data protection. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says.

IT 144
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Effective DQM is recognized as essential to any consistent data analysis, as the quality of data is crucial to derive actionable and – more importantly – accurate insights from your information. There are a lot of strategies that you can use to improve the quality of your information. date, month, and year).

article thumbnail

Supercharging Your Digital Transformation with Embedded Analytics

Sisense

It’s an inescapable fact that to get ahead (and stay there) in any industry now requires harnessing the power of data to drive decision-making and influence business strategy. This is a key element of a digital transformation. That’s why 98% of firms are investing in Big Data and AI initiatives.

article thumbnail

7 Things All Successful Data Product Managers Have In Common

Alation

Having the right tools is essential for any successful data product manager focused on enterprise data transformation. When choosing the tools for a project, whether it be the CIO , CDO , or data product managers themselves, the buyers must see the big picture. The same goes for data product managers.

article thumbnail

Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

article thumbnail

Cross-account integration between SaaS platforms using Amazon AppFlow

AWS Big Data

Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. Let’s take an example.

Sales 68