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qlik logo

Data analytics and

data management

We use virtually every Qlik tool to deliver end-to-end data analytics and data management

solutions. With Qlik, our clients can see more deeply into customer behavior, reinvent business processes, discover new revenue streams, and balance risk and reward. Qlik Sense is a complete and modern multi-cloud solution that allows our clients to combine data sources (no matter how large), explore their data using interactive tools, and interact with an array of smart visualizations. The Qlik Analytics Platform is a powerful embedded and custom analytics toolset that lets us create custom analytics or embed analytics into our clients’ applications and portals – with a proven governance and security framework. Qlik Replicate enables high-speed data replication that accelerates and reduces the costs of distributing, sharing and ensuring the availability of data. Qlik Data Catalyst simplifies and speeds up how our clients catalog, manage, prepare and deliver trustworthy, actionable data to business users across the enterprise.
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Motio-Logo-RegTM

Qlik Sense Version Control

and Deployments

Soterre gives Qlik Sense users the confidence to make bold changes knowing they can be recovered within seconds.

It also provides more governance over deployments as parts of a dashboard or the whole dashboard may be deployed. Soterre can also easily save time by restoring a previous version of a Qlik object that was edited or deleted.
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vizlib logo

Data visualization

and dashboards

With Vizlib, we build intuitive, self-service dashboarding solutions that allow our clients to

drive analytics adoption, improve data literacy, unwrap complex data challenges and enable better-informed decisions.
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nodegraph logo 2020

Data lineage

and data quality

Using NodeGraph’s data quality platform, we offer clients a detailed, visual look at the

provenance, dependencies and inter-relationships behind the data in their Qlik Sense and QlikView solutions — information that helps them maintain high data quality, boosts data confidence and ensures data consistency.
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Microsoft logo

Data analytics, big data,

cloud and custom apps

We utilize many Microsoft tools. Microsoft Data Platform offers insights over structured and unstructured

data by leveraging Power BI, SQL Server and Azure Data Services. Power BI lets our clients manage complex data, share insights (or embed them in an app or website), connect to hundreds of data sources, and create live dashboards and reports. SQL Server enables efficient management of big data environments, powers the transformation of complex data, and offers sophisticated data analytics tools, including Hadoop Distributed File System (HDFS) and Apache Spark. Azure Data Services, part of the Microsoft Azure cloud platform, enables our clients to gather, store, process, analyze and visualize data of any variety, volume or velocity. And we also utilize the Microsoft .Net platform to build custom applications for the web, mobile, desktop and IoT.
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Big Squid logo 2020

Machine learning and predictive analytics

We utilize Big Squid’s Kraken platform to give business users deeper insight into the value and quality of their

existing data. And, because Kraken automates many repetitive tasks that data scientists usually perform, we empower users to create predictions, understand which metrics truly drive the business, and take action based on those insights.
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k4 logo circle

integrated data entry

and write-back support

The K4 Analytics modular solution offers us the ability to seamlessly extend leading BI platforms (such as

QlikView and Qlik Sense by adding integrated data entry with write-back support and the ability to use the familiar spreadsheet interface.
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alteryx logo

Data science and

self-service analytics

We leverage the end-to-end Alteryx Analytics Platform to help clients unify their analytics experience, and

discover and share the actionable insights they need to make informed, intelligent decisions. With Alteryx, you can discover, prep and analyze all your data, then deploy and share analytics at scale.
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