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Analytics

BigQuery Admin reference guide: API landscape

So far in this series, we’ve been focused on generic concepts and console-based workflows. However, when you’re working with huge amounts of data or surfacing information to lots of different stakeholders, leveraging BigQuery programmatically becomes essential. In today’s post, we’re going to take a tour of BigQuery’s API landscape - so you can better understand what each API does and what types of workflows you can automate with it.

IDC reveals 323% ROI for SAP customers using BigQuery

If the COVID-19 pandemic has taught us anything, it is that speed and intelligence are of the essence when it comes to making business decisions. Organizations must find ways of keeping ahead of competitors and disruptions by continually leveraging data to make smart decisions. The problem? Data may be everywhere, but it’s not always available in a form that businesses can use to generate analytics in real time.

How Influencing Events Impact the Accuracy of Business Monitoring

Businesses are flooded with constantly changing thresholds brought on by seasonality, special promotions and changes in consumer habits. Manual monitoring with static thresholds can’t account for events that do not occur in a regularly timed pattern. That’s why historical context of influencing events is critical in preventing false positives, wasted resources and disappointed customers.

The NetSuite integration guide

One of the most important things to consider is the cost of the platform coupled with the cost of the integration. Now that we have understood what NetSuite integration is, some of the drawbacks, and why you should consider an integration, we are going to delve into how to do the integration itself. The approach you are going to take to do the integration is determined by the technical expertise if any, the application to be connected with NetSuite, and your budget.

Accelerate Time to Insights With Lumada DataOps Suite

As enterprises seek to accelerate the process of getting insights from their data, they face numerous sources of friction. Data sprawl across silos, diverse formats, the explosion of data volumes, and the fact that data is spread across many data centers and clouds and processed by many disparate tools, all act to slow the progress.

How Digital 22 Saves 2 Hours on Reporting Each Month While Offering Clients 100 Percent Transparency with Databox

WIth Databox, Digital22 got a solution that enabled them to spend less time on reporting while continuing to offer clients transparency, along with the custom metrics they really care about.