– “Bad” or “Very Bad” decreased from 40% to 9% – “Don’t know” responses decreased from 17% to 7% Recent research (PMP Research) asked a broad cross section of organisations their opinion of their data quality before and after a DWH implementation.
Consolidating data into a DWH can help ensure consistency and correct poor data, but it also provides an accurate measure of data quality allowing it to be managed more pro-actively.ĭata Quality is vital and a formal data quality strategy is essential to continually manage and improve it. A good data quality strategy, encompassing non system issues such as user training and procedures can have a large impact. Poor data quality is a common barrier to accurate reporting and informed decision making. SarbOx requires disclosure of financial & non-financial KPIs A robust reporting infrastructure is essential for achieving this. Sarbanes-Oxley requires that US listed companies disclose and monitor key risks and relevant performance indicators – both financial and non financial in their annual reports. There are now also regulatory requirements to be considered. ROI on BI > 1000% from 20% of organisations A survey conducted by IDC found that the mean payback of BI implementation was 1.6 years and that 54% of businesses had a 5 year ROI of >101% and 20% had ROI > 1000%. There is clear commercial justification to improve the quality of information used for decision making. Metadata: Data about data, describing how and where it is being used, where it came from and what changes have been made to it.
Good management & use of metadata reduces development time, makes ongoing maintenance simpler and provides users with information about the source of the data, increasing their trust and understanding of it. Each part of the system has its own metadata defining what it is doing. This is known as metadata and represents the data defining the actual data and its manipulation. A modelling layer can be used to integrate budgets and forecasting.Īs these solutions get more complex, the definitions of the systems and what they are doing becomes more important.
DWH BUSINESS INTELLIGENCE DEFINITION UPDATE
This update may be done in regular periodic batches, as a one off load or even synchronised with the source data (real time).ĮTL: The process of extracting data from a source system, transforming (or validating) it and loading it into a structured database.Ī reporting (or BI) layer can then be used to analyse the consolidated data and create dashboards and user defined reports. The DWH will be populated from various sources (heterogeneous) using an ETL (Extract, Transform & Load) or data integration tool. A Data Warehouse is a centralised pool of data structured to facilitate access and analysis. Silos of Data: Fragmented, Departmental Data Stores, often aligned with specific business areas.ĭata Warehousing (DWH) is often the first step towards BI. This causes problems of duplication, inconsistent definitions, inconsistency, inaccuracy and wasted effort. In many companies analysis of data is complicated by the fact that data is fragmented within the business. KPIs provide a quick indication on the health of the organisation and guide management to the operational areas affecting performance.
They form the basis of any the BPM solution and in an ideal world it should be possible to relate strategic KPIs to actual operational performance within the BI application. Key Performance Indicators (KPIs) are strategically aligned corporate measures that are used to monitor, predict and anticipate the performance of the organisation. More widely the ‘intelligence’ is the insight which is derived from this analysis (eg. Other popular terms for this include Enterprise PM (EPM), Corporate PM (CPM) Enterprise Information Systems (EIS), Decision Support Systems (DSS), Management Information Systems (MIS).īPM: Cycle of setting objectives, monitoring performance and feeding back to new objectives.īusiness Intelligence (BI) can be defined as the set of tools which allows end-users easy access to relevant information and the facility to analyse this to aid decision making. Business Performance Management (BPM) establishes a framework to improve business performance by measuring key business characteristics which can be used to feedback into the decision process and guide operations in an attempt to improve strategic organisational performance.
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