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Tikean has succeeded to pile up many Data Quality Management features and functionalities on a good platform. Really fast and easy-to-use tool to ensure data correctness and availability for operational processes.
We deploy a lot. Here in the SAP migration work we have learnt that Data Quality is a everything! Tikean helps us out enormously with the capability to mass review the in-scope data to minimise manual work.
TikeanDQ provides us the needed visibility and monitoring capability to the Daily Business Execution and Data Governance we have been looking for. To be able to streamline the delivery process and to really see, how our data impacts the Business, is a significant benefit. Savings in multiple forms throughout the operative processes. Seriously recommended!
Dynamic data modelling makes it easy to provision any data domain and source to TikeanDQ. Rich feature set supports merging data from multiple origins and legacy systems into domain views.
Tikean supports commonly used corporate authentication methods and standards. Control data visibility according to corporate policies.
Create and maintain meaningful reports, share and distribute with selected audiences. Provide visual insights for fast decision making on corporate functions.
Meet the compliance requirements with trusted data analysis and insights. Validate the corporate data asset accuracy and timeliness for e.g. GDPR regulation capability.
Creating meaningful data quality rules for business or technical validation has never been this easy!
Target the business process for the rule, set the rule name and message, hit the correct conditions and rules - publish. That's it - You're live!
Superfast data queries with no technical skills needed. Combine data from multiple origins into shareable and re-usable views.
Maintain and distribute corporate reference data throughout the corporate functions, using Tikean Reference Data solution (separate subscription module).
Yess, you can make the needed data modelling and configuration without a single line of code. This means that you don't need a coder to assign the rules. Also, the changes can be run immediately.
Set business rules to provide continuous corporate data quality details and metrics. Ingest and validate also temporary (e.g. migration) data sources against corporate data rules.
The intuitive and easy-to-use interface promotes easy system adaptation and use in multiple audiences, including the Business people.
Deploy and Maintain Data Governance specific ownerships to your data assets. Subscribe selected datasets and error reports for the respective stakeholders.
Responsibility from both the costing and environment point-of-view. When ever resources are needed, the solution reserves them and when not, the solution releases them, enabling power and cost savings.
Forget the local hardware and software hassle. The Software as a Service (SaaS) offers the needed platform and software, linked and available via your own corporate cloud resources.
Extensive guidelines for users and stakeholders.
We publish the guidelines, handbooks, release notes and other documentary via Confluence.
Be sure that we’d be happy to support you all the way through.
We offer company specific SLAs as requested.
The deployment model you choose for data quality software determines how fast your teams see value, how much IT resource you consume, and what you actually spend over three years. This guide gives enterprise buyers the criteria to decide with confidence.
Nearly 74% of enterprise AI projects never leave the pilot stage — and poor data quality is the primary reason. This piece defines exactly what AI-ready data means and the six measurable checks every enterprise must pass before training a model.
Every major manufacturer today is sitting on a data goldmine, yet most are making critical operational decisions on information they cannot fully trust. Sensor streams, ERP records, and
Every enterprise has a data quality story, and it usually sounds the same: a critical report surfaces bad numbers, teams scramble to find the source, a temporary fix
Tekoälyinvestoinnit kasvavat Suomen suuryrityksissä vauhdilla, mutta samalla kasvaa näkymätön riski: organisaatiot sitoutuvat kalliisiin hankkeisiin ennen kuin niiden data on riittävän kypsää tuottamaan luotettavia tuloksia. Tutkimusdata puhuu selvästi. 42
Build a data quality dashboard for executives that turns scattered quality metrics into business action, ownership, and faster operational decisions now.
More questions still? Contact us.
TikeanDQ is a superfast, lightweight, fast to-deploy and easy-to-use solution. It is targeted also for business users to use, not only the datafolks.
Built with modern, fully scalable tech based on real-life manufacturing corporate business needs.
While Catalogues focus on providing understanding of generally available corporate data assets to e.g. reporting or analyzation needs, TikeanDQ makes the modelled and available data mass physically (and promptly) available for the Business users and other data stakeholders.
Our main focus is set to ensure corporate operative capability by monitoring the various data asset quality and seeing it across multiple systems.
True – not a single line of code is needed to configure the corporate data models, data quality rulesets, extensive data reports, or dashboards.
The system is up & running in just days and not in months. Proof-of-Value projects generally last a couple of months, solid value can be seen in less than 10 days.
System adaptation for customer side usually takes some months (with working data pipelines).
Tikean solutions run in Azure cloud, by default in your corporate own Azure Subscription, which gives you the total control of the system, having your data staying in your own sub.
TikeanDQ ingests data generally with push from the data sources – full, delta, etc. in a given format (json, csv).
For sure – this is our favorite area, helping our customers to acknowledge the biggest painpoints in business, and to convert those hiccups to needed rules, reports and the needed flows to fix the problem.
The data is often consolidated from various sources to display the data consistency / change across the operative systems.
The consolidation can be done by the Customer or by Tikean and usually this is done in the integration phase, before ingestion.
Definitely – this is our core operating model.
If you have specific consulting companies you work with (and we don’t – yet), please take us there and lets align the needed steps ahead.
The DQ solution is fully adaptable and customizable as per your needs and your ecosystem solutions, like PDMs, ERPs, CRMs, storages etc.
Shortly – Yes.
Customers can easily populate the needed datamodels to gather the Compliance-related information and validate that data against the needed regulations and directives.
Also, effortlessly to compile the related reports to the relevant authors.
Tikean and AI together, is probably the easiest way to get your data corrected.
This usually is done with a workflow, where
