Examples of using Analytics projects in English and their translations into German
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Sitecore Tealium These customers trust us in their current analytics projects.
Implementations of new analytics projects and Monitoring of their worldwide rollout into the HB subsidiaries.
Another important topicis the approach to the implementation of Big Data Analytics projects.
This also means that as Dept, we work on SEO, web analytics projects and campaigns for Facebook, YouTube, Instagram and LinkedIn.
In addition,individual companies will present successfully implemented supply chain analytics projects.
We have successfully completed many predictive analytics projects in the automotive industry.
GDPR is also likely to lead to changes in the waythat companies manage data, and run analytics projects.
Management of projects and implementations of global integrative analytics projects in close cooperation with our business units.
Informatica Cloud Data Integration can help you with your global,distributed data warehouse and analytics projects.
They are likely to be accountable for the success of analytics projects, and are often budget holders.
GDPR should be significant for data management and analytics; it should change theway that companies manage data, and how they run analytics projects.
Intel's finance department tracks and validates results attributed to analytics projects, which provides accountability and improves the accuracy of ROI projections for future projects. .
Centralization is one way to ensure that there's always a steady,prioritized pipeline of analytics projects to tackle.
We try and gather as much of that as we can as we move into these analytics projects, because you have different levels of expertise and different points of view on how these things should proceed.”.
In the following presentations,companies that have successfully completed large supply chain analytics projects present their approach.
The challenge in analytics projects(as in Paradise Found) often lies not in the volume of data but in the variety of source systems and access pathways and in the diversity of data structures and missing structures.
Customers depend on SAS Data Management to quickly andreliably provide high-quality, tightly governed data to a wide range of operational, modernization, migration and analytics projects.
Whether a business is just getting started with a machine learning pilot or has taken on more ambitious andadvanced analytics projects, Intel provides a variety of resources and technologies that help create the robust, end-to-end architecture that machine-learning technologies require. Intel's performance-optimized portfolio and rich solution ecosystem supports the progression to advanced machine learning analytics. .
Start your Google Analytics project.
As an advanced functionality, you can provide ClientID key to use your own Google Analytics project.
Specialities include open-source software, BI& advanced analytics, project management(management, business analysis, requirements engineering), operation-system management(NW, MS, Unix/Linux), development(Java) and security.
A view from Intel's BobRogers on how to get value from almost any analytics project.
As you test an analytics project, add data in sequence to see how they change the answers.
They should be able to define the scope of a predictive analytics project and to calculate its return on investment ROI.
It's important to choose the right database for an analytics project, with factors like data quantity, formatting and latency all playing a role.