Back
The age of digital transformation is over
The last great shift was about "going digital”. The next great shift is about “getting smart”.
AI, machine learning, and smart automation will drive 70% of GDP growth over the next decade. In this new "Machine Economy", data will continue to increase in both volume and value, but many data teams are already struggling to keep up.
Traditionally, the data preparation process has relied on a highly-complex stack of tools, a growing list of data sources and systems, and months spent hand-coding each piece together to form fragile data “pipelines”.
Then came data management “platforms” that promised to reduce complexity by combining everything into a single, unified, end-to-end solution. In reality, these platforms impose strict controls and lock you into a proprietary ecosystem that won’t allow you to truly own, store, or move your own data.
It’s clear that the old ways of doing data management simply cannot meet the needs of modern organizations in the Machine Economy.
Data teams are in desperate need of a faster, smarter, more flexible way to prepare their data for analysis, AI, and machine learning.
Meet TimeXtender, the low-code, data estate builder.
TimeXtender empowers you to build a modern data estate 10x faster with a low-code, drag and drop solution for data ingestion and preparation.
Our data estate builder seamlessly overlays your data infrastructure, connects to 250+ data sources, and integrates all the powerful data preparation capabilities you need into a single, unified solution.
Code and documentation are generated automatically, which reduces build costs by 70%, frees data teams from tedious, repetitive tasks, and provides business users with a codefree experience for creating their own data products.
We do this for one simple reason: because time matters.
TimeXtender empowers everyone on your team:
- Business leaders get fast access to reliable data, with 70% lower build costs and 80% lower maintenance costs.
- Data teams get freedom from tedious, repetitive tasks, and have more time to focus on strategic, high-impact projects.
- BI and analytics users get a code-free experience for creating their own data products – no more bottlenecks.
