With the rapid pace of competitive innovation and shifting trends, it's imperative that organisations are making decisions from accurate and timely information.
IMS delivers results that enable confident and clear decisions.
With a heavy reliance on enterprise data, inconsistencies have become a major cause of process inefficiencies and unnecessary business costs
The task of resolving issues with master data seems insurmountable
Most organisations have some form of master data in a number of systems. This includes references to products, customers, employees, locations, and assets. However, not every business system conforms to the idea of Master Data – they become part of the data governance issues such as low quality of usable data and sharing of references; and sometimes organisation do not align all operations to the same standard of maintaining master data, even though they strongly believe in the value of it.
At IMS, we have methodically provided a master data solution starting from consultation to design and delivery. Without creating undesirable impacts on the current business processes, IMS has an approach to resolving issues prevalent in most organisations, where multiple “sources of truth” and sensitive data exist in spreadsheets, desktops, and other non-compliant environments. We believe that a Master Data solution in an enterprise is highly recommended to provide operational efficiency and an effective way to support better data governance.
Enterprise Data Warehouse
When enterprise data is not managed properly, organisations rely heavily on staff experience and knowledge rather than systems.When an organisation comes to IMS with a need to build a Data Warehouse solution, we have to understand the problems the organisation is trying to solve, and their limitation on investment. We understand that a Data Warehouse project is not a light undertaking. With our extensive experience and expertise, we can provide independent advice on the best approach and the investment required to deliver a data warehouse solution that has longevity in business values.
In the world of Data Warehouse, there are primarily two approaches to the design of the solution: Inmon’s Enterprise Model, or Kimbal’s Dimensional Model. At IMS, we do not subscribe one over the other. It all depends on the business problems and objectives, and the limitation on investment and time. When delivering a Data warehouse solution we apply the principles built in our delivery framework to ensure that the solution is agile to respond to business changing needs which may include maintaining the data warehouse as a trusted source of data, improving reporting performance, and evolving with enterprise information analysis needs in a timely manner. As data warehouse solutions can be complicated, our standard framework and reusable modules are utilised to rapidly construct and update the solution to meet business demands, and is highly supportable from operation perspective.
The need to search large amount of structured and unstructured data on a daily basis to produce significant results is labour intensive and costly.
Big Data is a solution that can accommodate unimaginable volume of data, and provide methods to access, analyse, and maintain these “big” data in a way traditional database solution fails to provide. We do not believe all organisations need a Big Data solution. To maximise the investment in a Big Data solution is to ensure you have a real need to accommodate large volume in system that is easily accessible by the business. Some of the problems in large organisation can be solved with our Big Data solution.
Our approach to using big data to perform contextual enterprise search on a high volume of structured and unstructured data will provide an organisation with a distinct advantage as a lot of time is spent on searching value in our data.
In our experience, we have seen issues appearing consistently such as broken security, unmanaged privacy, and poor search results using traditional search engines. Our Big Data solution can provide a true context sensitive Enterprise Search engine customisable to serve the business objectives, empower staff to become more efficient and knowledgeable in their field of work.
As part of our Big Data offering, the ability to analyse and get answers over large volume of data in a matter of seconds rather than hours is invaluable. In Utilities, for example, large amount of SCADA data collected overtime where our Big Data solution could easily shine lights over invaluable information in the dataset.
Inefficiencies and inconsistencies generated from manual data integration between systems.
In our travels, IMS have delivered Data Integration solutions to integrate millions of transactions in designs that are easily managed and maintained. We have proven methods to capture and translate business rules to specifications ready for data integration and migration solution development. We have development integration frameworks to rapidly deliver solutions, providing data reconciliation and process recovery. Our frameworks include sophisticated support notification capability, ensuring the problem severity is pushed to the right level of escalation via a number of reporting medium including email, SMS, and Corporate social feed.
Inadequate data integration standard and poor framework leads to minimal data audits, reconciliation, poor supportability and maintenance. This ends up costing the business unnecessary resources to keep data integration in operation.
At IMS, we deliver our integration solutions that can be managed with low overheads, supported with up-to-date documentation, and easily maintained with impact analysis capability. What it means is that our clients ends up with a simple and cost effective solution to own and support.
We understand that the merging or separation of companies, departments or systems can cause pains in data sharing or demarcation.When new systems are being acquired, or decommissioned, IMS has consistently employed its methodology specifically targeting data migration problems. IMS address data migration problems with methods to assess the data quality and value, to obtain the business rules of merging and separation, to design and implement the solution to migrate large data volume effectively, and provide status reports of the resulting migration.
More often than not there is urgency in the nature of the problem, IMS has always worked with the business to meet deadlines critical to the business.
IMS judge the success of the data migration solution by leaving the business operating as normal after the merge or separation.
Most businesses would like to have BI “on-the-go” to enable up-to-date information made available in desktops and mobile devices wherever their work takes them.
IMS has a cost effective BI solutions delivered in the cloud to eliminate the need to manage and deploy the solution in-house by organisations. The data held in the cloud is secured and encrypted, where the solution is backup and redundancies built-in.
Without the right approach attempting to mobilise BI for your people comes with pitfalls in infrastructure and security.
Our experience suggests that for most organisations, the cloud BI solution can be implemented in a shorter timeframe and is more robust in comparison to traditional BI. Like traditional BI, our BI Solution provides powerful filters, fully customised reporting and dashboards on desktops and mobile devices. We believe true BI being accessible anywhere with minimal fuss is the future – where mature organisations are heading.
Some BI reports are hard to comprehend.
IMS has an innovative architecture to accommodate both structured and unstructured data to provide real business intelligence. Besides the everyday reporting and dashboards, we believe that BI consumers should be able to select new source of data for their innovative analysis – a true BI solution should provide that capability without being at the mercy of the purists of data quality and limited IT resources.
Unable to gauge the accuracy and relevance of the information presented, hence low confidence in the report usefulness.
Business is not static, hence the information provided in BI needs to keep up with new ideas.
We believe that BI solution and Data Quality goes hand in hand, where quality of data for analysis should be understood, and the BI solution should be simple enough as a way for the users to take advantage of new source of data. Our BI solution enables users to do just that – Exploring BI in Analysis, Ad hoc Reporting, Data Mining, and Analytics with no inhibition.