The average data warehouse implementation takes 17 months, requiring extensive and costly development and internal resource allocation. Remove the tedious time- and resource-intensive data warehouse development process and reallocate capacity to other high-impact projects.
Having multiple, disparate data sources in a decentralized environment makes it difficult and unpredictable for business users to readily access consumable business data. It's time to make their lives easier.
When users compile data by copying and pasting, it introduces errors into your operations. Inaccurate reports not only impact your business success, but can create costly issues with regulations and compliance. Ensure your business has a controlled and consistent data set where business rules and data governance are applied correctly.
Extract data from all your company’s data sources with purpose-built Dynamics and Oracle connectors, along with 275+ additional connectors, and bring all your business data into a secure, single-source-of-truth data warehouse. A simple drag-and-drop interface automates SQL code for you, eliminating the need for cumbersome IT projects to cleanse, transform and structure data. Empower your team to add new data sources on the fly.
Eliminate the difficult and often time-consuming task of creating a complex data warehouse environment with insightsoftware’s business intelligence solutions. Users will have access to out-of-the-box data connectors, pre-built plug-and-play analytics projects, a repository of reports, and an intuitive drag-and-drop interface so they can begin extracting and analyzing key business data within hours.
Automate the entire data warehousing process, from data retrieval through data transformation to deployment and generation of project documentation. Quickly combine from a variety of sources into a singular data warehouse and a set of dimensional cubes or tabular models. insightsoftware solutions are built to support rapid changes by simplifying the ETL process, with no coding required. Maximize productivity by centralizing data access rules and by automating data refreshes.
By implementing a data warehouse for financial reporting, businesses can achieve meaningful results that produce value immediately throughout the organization. Financial and operational reports built on a data warehouse can provide a holistic view of what’s happening in the business (not just in the ERP system) and can make it easier for line-of-business personnel to design and manage their own reports, without help from IT specialists.
At the same time, a data warehouse can help you avoid a messy legacy data migration process and can make it possible to transition seamlessly to new software without redesigning hundreds of reports in the new system.
Read this white paper before you make one more data management move that could cost you unnecessary time and money.
Jet Analytics highlighted that our main roadblock for cash flow reporting was visibility through the negotiation phase of projects. We were able to categorize and filter projects by stage, and automate reporting to deliver accurate project insights daily, not monthly. Now reporting is all streamlined and automated. It is simply updated twice a day and we always have up-to-date insight into our work.
