TimeXtender is successfully used in a variety of industries to automate the building of a modern data estate for analytics and artificial intelligence.
Manufacturers generate a lot of data. Inbound supply chain data, production data, sales data, shipping and logistics data. Manufacturers need the ability to pull all this data, from internal and external sources, into a single place.
They need to keep that data up to date, through automation. And they need to merge, rationalize, and prepare that data for analysis. That is exactly what TimeXtender can do for manufacturers.
"We were able to deploy our TimeXtender solution into production on Azure SQL Database Managed Instance in a matter of weeks. We immediately realized a 49% cost savings and a 25-30% performance improvement"
Retail and CPG
Retailers and CPG companies live and die by their ability to forecast sales, anticipate trends and meet demand. This requires analyzing existing sales, market trends, weather patterns, holiday schedules, geographic data and potentially special data that is the secret sauce in your forecasting.
This requires combining and preparing data from inside and outside your organization. Bringing all this data together for analysis is what TimeXtender can do for Retailers and CPG companies.
"By using data warehouse automation and test automation we succeeded with a very small team to develop an agile, future-proof BI landscape. Without automation this wasn’t imaginable!
Healthcare analytics presents special challenges as the need for privacy and compliance with government regulation can sometimes limit access to data. In Healthcare it is critical that the tools used to gather and prepare data be able to honor security settings and allow data to be marked and controlled as private.
As data is gathered and merged from multiple systems, TimeXtender allows specific data to be marked as private and support controlled access.
"TimeXtender offers a generic automation solution for the entire data processing in an organisation, from unlocking the resources to the presentation layer"
Government organizations frequently need to analyze data that is stored in multiple systems. Bringing this data together represents a key challenge to analysis and improvement – whether that is an improvement in services or improvement in their ability to capture tax revenue.
TimeXtender helps pull data from multiple source systems, combine it and keep it up to date – enabling new types of analysis for services and revenue optimization.
"Even though our organizations merged, we still avail over historical data to make comparisons. This provides MEE-Vivenz with a solid basis for policy and management decisions."
Financial service providers need "pristine" data.
TimeXtender helps financial services firms orchestrate actionable data at scale so they are ready for human use, machine learning, AI, and app development, turning data into profitable and measurable business value. Because time matters.
“With TimeXtender we foresaw a future whereby the business would gain access to the information it needs, when it needs it, with automated processes to get data ready for analysis.”
Education has special types of data and a specific focus on unique metrics. For instance, at all education levels, graduation rates are a critical metric. Finding correlations between graduation rates and other metrics can allow educational institutions to improve the quality of their offerings and improve that key metric.
TimeXtender provides the ability to bring together data from multiple systems and prepare it for analysis so educational institutions can continually improve operations and education quality.
One Tool, endless Use Cases
TimeXtender is successfully used in a variety of industries to automate the building of a modern data estate for analytics and artificial intelligence. See all Customer Success Stories here.