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QUESTION & ANSWER

BI Platform Data Readiness

The key business issues, existing reports, indicator definitions, data sources, table structure, refresh frequency, permissions and historical quality issues need to be prepared. Not all data must be cleaned up first, but it is important to know where the data came from, who is responsible and which fields are credible.

Answer the question.

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

Prepare normal, missing, duplicated and delayed samples to assess whether the data support daily newspapers, real-time early warnings or monthly analyses.

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.

Which management actions and operations managers are to be matched by the first indicatorWhether data sources are open to database, API or file interfacesTime span, particle size and mass of historical dataHow sensitive fields, data ranges and export permissions are controlled
ACTION STEPS

Suggested order of advance

01

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

Collecting current statements and most frequently contested indicators.

02

Validation Key Dependence

(b) Inventory source system, field, blood and data quality.

03

Development of assessable outcomes

Select a theme field to create a catalogue of models and indicators.

04

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

Run and check on other topics on a continuous basis.

PRACTICAL EXAMPLE

How do you understand it in the actual business?

Example used to illustrate the method of judgement

The first issue is linked only to the ERP order, MES production and WMS treasury, harmonizing delivery cycles and extension calibres, and increasing procurement, quality, and financial topics after value is recognized. The examples do not represent the performance of a particular customer, and the actual conclusions need to be verified in relation to the enterprise’s own business volume, sample, system, and liability boundaries.

COMMON RISKS

The easiest pit to step on.

First, we'll buy a big data platform and then we'll find a scene to use it.

Let technicians define business indicators only

Ignore permissions and data export risks

ACCEPTANCE

How should we end up receiving and confirming?

The first phase should deliver the list of data sources, field mapping, catalogue of indicators, quality rules, movement control, privileges and statements, and complete the source reconciliation 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