From our Delivery Framework to data manipulation, we deliver successful outcomes at any stage of business.
We adhere to a structured approach for a successful outcome.
Every one of our projects is managed using our Project Delivery Framework, based on best-practice methodologies and our long experience in delivering data and analytics projects with successful outcomes.
Using this structured approach we ensure we:
Provide a consistent approach to project delivery
Translate our data and analytics experience into project-based procedures
Leverage iterative development practices that are best suited to data and analytics projects
Maintain quality standards throughout the project
Deliver the project on time and on budget
Ultimately, this ensures final project delivery is a success by meeting the customer’s expectations, objectives and key success outcomes.
Highly effective design and build processes for firm BI foundations.
A Data Warehouse provides the foundation for Business Intelligence by providing access to the appropriate data in a way that’s easy to understand. The two main components are the design of a robust data model that can translate business concepts into a logical, efficient format, and the development of effective ETL (Extraction, Transformation & Loading) processes.
Traditional design and build of Data Warehouse and Business Intelligence solutions are a significant part of our business due to our use of the Kimball Development Methodology around iteration. By adopting this approach we can start with a specific subject area or business unit, build and implement that solution, learn what refinements are needed at the technical level, as well as how to improve the user experience from a Business Intelligence point of view and iterate this across other areas.
We undertake three main Data Warehousing activities: Implementation, Data Mart Development and Health Checks. With all Altis consultants formally trained in dimensional modelling and multiple ETL tools and can also leverage our extensive internal knowledge base when needed, to give clients absolute confidence in delivery.
We provide the expertise for setting up and managing cloud-based data.
Rather then setting up internal servers, databases, ETL and BI/reporting tools and requiring staff to maintain all of these items, cloud gives you the option of leasing them as a service on a pay-as-you-go basis. These are typically offered under Infrastructure, Platform or Software Services and generally with the added benefit of being scalable.
We have a number of consultants skilled in cloud-based delivery, and by adopting this approach we can help clients realise the key benefits of using cloud services for their BI needs including:
Ease of set up: rather than having to wait for servers to be purchased, software to be installed and networks to be set up, we are able to spin up an instance, which can take just a matter of minutes.
Provider-side maintenance: Services are maintained solely by the cloud service provider. For example, consider Tableau Online, who will automatically update their Tableau Online software
High reliability: Cloud services typically come with very high reliability
Lower costs: Users no longer need to pay for hardware and maintenance of staff, or pay up-front for separate operating system, database or software licenses
Scalability and flexibility: Services can be scalable and somewhat flexible. Many cloud solutions can also handle processing large volumes of data through tools like AWS’s Elastic Map Reduce (EMR) or Windows Azure HDInsight
Multi-device and -location friendly: Services are easy to access from multiple devices and locations. Remote or field users who may want to access reports on the go, could do so from a mobile device, removing the need to take a personal copy of data onto a USB and move it between locations.
Our data migration framework is structure to ensure the highest probability of success.
Data Migration is the transfer of data from one or more source systems to one or more target systems, and usually involves reformatting the data to fit the target. This process is referred to as ETL (Extract Transformation Load) and is required when systems change, driven typically by changes to the business such as legacy system updates or business consolidation. ETL requires data to be migrated from the ‘original’ system to the ‘new’ system, as part of a larger change to the business.
The success of Data Migration projects depends on a range of factors, including planning, knowledge, source data quality and lack of business engagement. Even the quality of other project teams can impact overall success.
We have a proven Data Migration Framework that outlines each step in a Data Migration project, helping to manage the many associated components – and ensure critical factors for success are met. The Altis Data Migration Framework covers all phases from strategy, planning and set up to solution delivery, dress rehearsal and cutover.
The Framework covers client approval in preparation for the cutover, the cutover process itself, as well as the support of the new systems post cutover by the Data Migration team. Our approach recognises and helps to integrate any ‘Business As Usual’ tasks that need to be completed on legacy systems, as well as the impact of development that needs to take place on new systems as part of the wider program of work.
We adopt best-practice implementation for more intuitive and efficient self-service BI solutions.
Self-Service Business Intelligence enables users across an organisation to fulfil their own needs for information housed in the organisational data warehouse, without needing assistance from their IT department. It enables the user community to create their own artefacts with the common benefit that IT staff capacity is freed up but it does rely on having an established Data Warehouse; BI tools and systems; and user training mechanisms in place.
We undertake a structured process for ensuring the self-service model fits the business and delivers on its requirements, using services including:
Developing a Strategy and Roadmap
Delivering in stages using the Kimball methodology
Involving key stakeholders in decision making eg: setting the order of stages, working party for design decisions
Being diligent about quality and documentation
Taking an “end user” approach to design eg: use of a graphics design company to assist for BI portal branding
Early and ongoing knowledge transfer from implementation teams to end users to increase self-sufficiency over time
We transform your business data into practical solutions, resulting in meaningful business results.
Our combination of smart people and data mining techniques finds patterns and uncovers insights in your organisation’s data that we develop into impactful, numbers-based business advice. This advice is a blend of commercial understanding and information tested and optimised by mathematical and statistical algorithms. Using predictive and clustering approaches, we have helped a wide range of businesses to improve their market segmentation, campaigns and customer service. Depending on the specifics of a project we can adopt a number of Data Mining approaches:
Developing insights based on past behaviour, helping focus efforts and confine costs.
Used for unstructured data, such as sales rep notes, call centre notes, investigative notes or incident investigations. It is also useful for Government and Insurance organisations looking to prevent fraud or optimise case management.
Used to solve particular prediction or optimisation problems. Our consultants utilise machine learning methods including classification, random forests and decision trees.
We have the methods and techniques to help you garner business insights your big data holdings. We can leverage technologies either on premise on in the cloud.
Data gathering and multiple source integration for better business intelligence.
Data integration refers to an organisation’s ability to gather data and information residing in multiple sources, combine it and provide a unified view to support business goals and initiatives. An effective Data Integration solution needs to include a range of different capabilities, providing a complete platform to support all of the organisation’s Data Integration business initiatives such as Data Warehousing, Master Data Management, Enterprise Application Integration (EAI), SOA and Data Migration.
Altis provides a robust and effective Data Integration process, with extensive planning and design that results in better and more flexible business intelligence and a framework that is future-proofed for additional requirements.
A proven approach to provide you with access to your information and help you understand it.
Much of an organisation’s operational efficiency can be gleaned from accurate and insightful reporting. In addition to more traditional reporting frameworks, we employ data visualisation tools including dashboard and scorecards that interpret information in a graphical format, presenting clients with a more intuitive output set to drive decision-making.
Our team’s experience allows us to create intuitive and easily-understood dashboards or scorecards that take people on a journey, based on agreed KPIs and metrics. It means users understand what makes up the numbers, and agree to measures that will mark their progress. This raises visibility of down the line metrics that drive the business, creating an agreed topline view of what’s important right now and in the near future.
A key part of our solution is to fine-tune dashboards and scorecards to specific audiences: for example, a high-level view of key drivers would be relevant for senior executives, while more detailed information can be made available to line managers.