Systems | Development | Analytics | API | Testing

Contrary to what you might think, benchmark reports aren’t all science. There is an art to analyzing and telling a compelling story based on these reports.

Successful analytics depends on choosing the right approach to storing your enterprise data.

Forbes Insights defines the modernized data center as being built to change just as much as it is built to last. One of the key pillars for a modernized data center is an agile data infrastructure. The Forbes Insights briefing explains, “This means it’s not wedded to any specific deployment method or solution set.

Success for any business starts with data that is easily discoverable, understandable, and of value to the people who need it. We call this type of data “healthy data.” You should look at a wide set of measures and metrics to determine whether data is healthy or not, but at the core of all healthy data is a high level of quality.

We're excited to announce that Xplenty has acquired the fastest real-time data replication platform on the market, FlyData. This further expands our product suite and adds database replication to our customer offering. This was the highest requested feature from our customers, so we're happy to announce that we now have CDC (change data capture) capabilities.

Organizations at the forefront of their field leverage speed and agility to maintain their competitive edge. The key factor driving this agility is collaboration, which can only be achieved by providing every department with access to the data they need to perform their jobs more efficiently. According to Gartner, digital optimization blurs the classic ownership and activity boundaries within and beyond IT.

For decades, ETL (extract, transform, load) has been a mainstay of organizations’ data integration workflows, moving information from various sources to a centralized data warehouse. More recently, however, businesses have been shaking things up with reverse ETL, which flips the sources and targets by sending data from your warehouse to third-party systems like Zendesk.

Apache Kafka has grown from an obscure open-source project to a mass-adopted streaming technology, supporting all kinds of organizations and use cases. Many began their Apache Kafka journey to feed a data warehouse for analytics. Then moved to building event-driven applications, breaking down entire monoliths. Now, we move to the next chapter. Joining Celonis means we’re pleased to open up the possibility of real-time process mining and business execution with Kafka.

Today, I’m thrilled to announce that Lenses.io is joining Celonis, the leader in execution management. Together we will raise the bar in how businesses are run by driving them with real-time data, making the power of streaming open, operable and actionable for organizations across the world. When Lenses.io began, we could never have imagined we’d reach this moment.

This blog is part of our ongoing "meet the analyst of the future" series, which profiles analysts who are transforming their organizations and supercharging their careers by embracing the future of analytics today.