DATA ESTATE & ARCHITECTURE

Cloud-based technology has revolutionized the enterprise world, allowing businesses to easily retrieve and store tremendous volumes of data. But before all this data is used for analytics, it has to be transformed, catalogued, and checked for quality. This is what purpose-built data estate does for your business. To derive value from your data, you have to be able to efficiently sort through it.

USING STATE-OF-THE-ART TECHNOLOGIES

Build Up Your Data Estate

By consolidating historical, operational, and transactional data for analytical use, you can improve data accessibility across your organization and enhance your ability to make bottom-line decisions.

90% of businesses are facing slow data retrieval and analysis on a daily basis
70% say that bad infrastructure and collaboration practices surrounding data are negatively impacting business decisions
45% say the main reasons for not investing in consolidated data infrastructure are the cost and time associated with building a data warehouse

HOW WE CAN HELP

We help you optimize your BI Value Chain!

At HICO-Group, we help organizations establish the full value chain of business intelligence. As such, we can help you build a secure, easy-to-use data pipeline that automates the processes of accessing, analyzing, and acting on data in line with your KPIs, all with the goal of informing better decision-making and improving your bottom line.

Thomas Keske, Lead Consultant Data Estate

Get in touch with Thomas Keske

Make an appointment

WE ARE TimeXtender Partner of the year 2020!

Thank you for this amazing news!

We are proud to be pushing the #BI envelope in the DACH region further every year. As we do, our partner ecosystem will keep on growing. Onwards!

Power Your Data From the Ground Up

CONSOLIDATE ALL YOUR DATA
CONSOLIDATE ALL YOUR DATA

Set up a data warehouse to store all data from your company’s operational databases as well as any external sources. Consolidate your historical, operational, and transactional data for more informed analytical use - on-premise or in the cloud.

INCREASE DATA ACCESSIBILITY
INCREASE DATA ACCESSIBILITY

Ensure your organization is following a Single Source of Truth. Standardizing data from different sources also reduces the risk of error in interpretation and improves overall accuracy of information shared inside as well as coming out of your organization.

IMPROVE YOUR BOTTOM LINE
IMPROVE YOUR BOTTOM LINE

When purpose-built for your business, data warehousing significantly improves the speed and efficiency of accessing different data. This enables decision-makers enterprise-wide to derive key insights faster and realize the true business value of data.

WHY CHOOSE HICO AS YOUR DATA ESTATE PARTNER

DEEP INDUSTRY EXPERTISE

Our team is diversely skilled in using various BI tools and architectures. As such, we can provide both the technical and process expertise to make your project successful.

FUTURE-PROOF SOLUTIONS

We will ensure to build a flexible, dynamic system that can not only meet current requirements but change, adapt, and grow with your business without costly rework and disruptions.

LONG-TERM TECHNICAL SUPPORT

After your project has been implemented, our work doesn’t stop there. We are available to offer ongoing support, training, and guidance to your team for as long as it takes.

COMPLETE BI VALUE CHAIN

We are holistic in our approach. Our BI experts and data management consultants design, implement, and integrate BI controlling systems across industries and functions.

CUSTOMER-CENTRIC APPROACH

We keep an open mind to the best tools and practices the market has to offer. We won’t shove ideas down your throat but will work hand-in-hand with you on creating a solution tailored to you.

TRANSPARENCY & RELIABILITY

We like to stay on top of things so you don’t have to. You will always have more than one lead consultant working on your project implementation, hand-in-hand with you.

TECHNOLOGIES

We trust two state-of-the-art partners in terms of data estate

TimeXtender

Automate processes while simplifying data mapping and data access. Build a complete data management platform. Most business people need to make data-driven decisions every day. TimeXtender is a data management platform that helps prepare and manage data for analytics and AI – without writing code – automating the process of getting documented data in the right place, in the right form, and ready for analysis.
See for yourself why 3,000+ customers from 94 countries trust TimeXtender to accelerate time to insights by up to 10x. TimeXtender is everything you need to connect to various data silos, catalog, model, move, and document data for analytics and AI.

Qlik Data Integration QDI

A data integration platform makes it easier to carry out and even accelerate deployment of these and other initiatives by providing you with high-performance tools for collecting, filtering, processing, and moving different types of data from and across your various data stores.
A data integration platform is a set of technologies that help you create data pipelines. A complete data pipeline should include a data ingestion framework for connecting to different applications and systems, database replication software for copying and converting database objects and data into other formats, data transport architectures, and a graphical process designer. The Qlik Data Integration solution consists of three key areas: Streaming CDC, Data Warehouse Automation, and Data Lake Creation.

TimeXtender

TimeXtender is the data management platform for automating your data estate on Microsoft technologies

Change deployment models without changing data models

Deploy Discovery Hub via Azure Marketplace in as little as 5 minutes

Build a future-proof modern data estate that evolves with technology advancements

Deploy data for analytics and AI on-premises, in the cloud or a hybrid using Azure SQL Database, Azure SQL Database Managed Instance, Azure Data Lake, Azure Analysis Services or SQL Server

Move from a patchwork of tools to a complete data management platform

Add a new data source for analytics in as little as a day

Provide data users with instant access to consistent data

Automatically generate required code for data access and modeling

Avoid building custom datasets for each request

Generate documentation for data audit and compliance

Deploy Discovery Hub and your data estate via Azure Marketplace in as little as 5 minutes

Automatically document analytics data

Identify and catalog sensitive data

Auto-generate data lineage information

Maintain, manage, and document access rights

Supports compliance requirements for GDPR, HIPAA, and Sarbanes Oxley

DIVE DEEPER INTO TIMEXTENDER

GO TO TIMEXTENDER

QLIK

Streaming CDC: Change Data Capture

This technique captures changed data and sends it to a target location.

With this technique only changes are transmitted.

It results in minimal resource needs and is therefore the quickest way to transfer from A to B.

Automated target table creation, instantiation, and mappings.

Agentless, real-time data capture and delivery.

Integration with Relational Database Management System (RDBMS), file systems and streaming targets, on-premise & in the cloud.

Continuous, real-time streaming.

A progressive and modern UI.

Consistency and ease of use across most platforms (sources and targets).

Minimal production impact due to an agentless architecture.

Resilience and reliability.

Automatic response to source structure changes.

Ease of management, automation, and low total cost of ownership (TCO).

Qlik Data Automation

Automated Data Model/Data Warehouse design, build, maintenance, and documentation

Automated table creation, instantiation, and mappings

Rapid Data Mart creation

Continuous, real-time streaming CDC into the Data Warehouse/Data Mart

Reduction of risk, cost, and time - no scripting or coding required

Delivery of analytics-ready data to next-generation DWs & DMs in real-time

Agility to incorporate new requirements and new platforms over time

Qlik for Data Lakes

Automate the creation of tables, organize data structures, and track lineage to deliver a managed data lake

Instantiate data, maps source, and target, and continuously synchronize source and target schemas

Use Apache Spark and Apache Hive for refinement

Replicate data in real-time from source to target

Quickly and easily create high-scale data pipelines

Eliminate risky, expensive, and complex custom coding and the associated high TCO

Ensure data consumer trust through data catalog and data lineage

Close the “last mile” by provisioning analytics-ready data in the data lake

READY TO BUILD YOUR OWN DATA POWERHOUSE?

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