Online data analytics solutions in the cloud by naincyber

Organization Performance Management (BPM) establishes a framework to further improve business performance by measuring key business characteristics which enable you to feedback into the decision process and guide operations in trying to improve strategic organisational performance. Other popular terms just for this include; Enterprise PM (EPM), Corporate PM (CPM) Enterprise Information Systems (EIS), Determination Support Systems (DSS), Management Information Devices (MIS).

BPM: Cycle of setting aims, monitoring performance and feeding back for you to new aims.

Business Intelligence (BI) can be explained as the set of tools which allows end-users easy accessibility to relevant information and the facility to analyse this to help you decision-making. More widely the 'intelligence' is the insight which is derived from this analysis (eg. trends and correlations).

BI: Tools gain access to & Communications Compliance Analytic Solution

Key Performance Indicators (KPIs) are strategically aligned corporate measures which have been used to check, predict and expect the performance in the organisation. They form the basis of just about any the BPM solution and in an ideal world it should be possible to relate strategic KPIs to real working performance from the BI application.

KPIs give a quick indication on the health of the organisation and guide management on the working areas affecting performance.

In many companies analysis of data is complicated by the belief that data is fragmented within the organization. This causes problems of duplication, sporadic definitions, inconsistency, inaccuracy and wasted hard work.

Silos of Data: Fragmented, Departmental Files Stores often aligned with specific organization areas.Integrated Data Warehouses is often the first task towards BI. A Data Warehouse is often a centralised pool of data structured for you to ease access and analysis.

DWH: Centralised/Consolidated Files Store

The DWH will be populated from various sources (heterogeneous) utilising an ETL (Extract, Transform & Load) as well as data integration tool. This update could be done in regular periodic batches, as one off load or even synchronised while using source data (real-time).

ETL: The task of extracting data from an origin system, transforming (or validating) it and loading it right structured database.

A reporting (or BI) layer will then be used to analyze the combined data and create dashboards and personal defined reports. A modelling layer enables you to integrate budgets and forecasting.

As these data analytics solutions have more complex, the definitions of the systems and what these are doing becomes more important. This is termed metadata and represents the data defining your data and its manipulation. Each perhaps the system has its own metadata defining what it can be doing. Good management & use involving metadata reduces development time, makes ongoing maintenance simpler and supplies users with information about the method to get the data, increasing their trust and idea of it.

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