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QUESTION & ANSWER

BI Dashboard vs. Data Governance

If the core indicator is defined in a largely consistent and data quality manageable way, it can be used to validate decision-making values in small areas; if the same indicator has long-term conflicts with different systems, the necessary calibration and data governance should be completed. The two are usually pursued in parallel: a small number of high-value statements expose problems and then the main data, indicators and quality rules are gradually institutionalized.

Answer the question.

First, give conclusions that can be used for decision-making

It is not recommended to do a corporate screen first, nor do we need to stop all analysis for governance purposes. Selecting three to five indicators of real action by management goes back to the source system and detail, recording calibre, responsibility and quality issues. A first-line BI that can be reconciled with stability, and there are conflicts that create governance tasks simultaneously.

DECISION FACTORS

What conditions need to be identified before judgement is made?

The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.

Whether multiple definitions and data sources exist for key indicatorsWhat will management do when they see the indicators?Is the report able to drill down into the fine and source system?Whether or not the data quality issue is responsible for the person and process
ACTION STEPS

Suggested order of advance

01

First, we'll be clear about the target and the border.

Select an operational theme and a small number of decision-making indicators.

02

Validation Key Dependence

Check definitions, sources, updates and privileges.

03

Development of assessable outcomes

Establish reports and record data quality problems at the same time.

04

Make sure you decide the next step with the real results.

Extension of analysis or governance through monthly reset decisions.

PRACTICAL EXAMPLE

How do you understand it in the actual business?

Example used to illustrate the method of judgement

The report is more understandable because the company first built the sales cockpit, and found that the order income and the financial income varied in calibre. Instead of imposing a number, the team defined business orders, shipments, and financial income separately, and clearly applied the scene and the responsible person.

COMMON RISKS

The easiest pit to step on.

There are many indicators on the screen, but no management action.

Treat ETL cleansing as governance, without operational responsibility

The report is only a summary and cannot be traced back to the source.

ACCEPTANCE

How should we end up receiving and confirming?

Each indicator should provide definitions, dimensions, sources, refreshing, responsible and drill paths, and be checked with operational finances using a sample of fixed dates.

When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.

Your project conditions are different from the examples above?

Operational objectives, existing systems, sample and planned time could be collated before consultants could make preliminary judgements in relation to actual boundaries.

Associate project consultants