Computers and Technology

Data Strategy Applied To A Example

Identify Levy demonstrated how to use the Data Strategy Scorecard’s many components. Users should inquire about the following for the first component, data science in malaysia

Identify ( data science in Malaysia) :

Is there a single system or are there multiple systems that users must navigate and comprehend in order to obtain the data they seek?

What representation is use for the data?

Do all consumers comprehend existing jargon or do they prefer business-defined jargon?

Are the same systems utilised by many organisations, or are the names employed differently?

Is there a consistent format for data or are there instances where the same data is display (or misrepresent) differently in multiple reports?

The sliders on the left represent an application-oriented environment, while the sliders on the right represent a more business-defined environment. Smaller businesses, he explained, tend to be more to the left, whereas larger businesses with more processes tend to be more to the right.

For instance, a business that favours commercial vocabulary over technical terminology might position itself to the right on the Terminology & Meaning slider.

Levy contrasted how the remaining components of the process would look: Provision, Store, Process, and Govern.

Provision

Provision is the concept of data packaging, he explained. The left side of this slider implies that every data request will be a special venture, requiring a developer to create something from scratch. The middle of the slider indicates that reporting systems are well-established and data flows freely throughout the organisation. The slider on the right indicates the capability for self-service data access.

 

Store

Levy uses the term “Store” to denote the location of permanent data. Users should enquire:

Is data oriented towards applications or is it raw, “cook,” or archive?

In what various states do people require data?

Is this an environment in which a core set of employees is task with the responsibility of onboarding data from third parties and/or internal systems?

Can users create their own versions of data?

Process

The Process slider represents the level of expertise required for data interaction. The majority of data environments do not have packed and ready-to-use data. Rather of that, it is package for the manufacturing process’s ease, resulting in large flat files or files containing reused presentations or variables and values—what Levy referred to as “quite wacky data types.”

The left side is occupy by typical labor-intensive data warehouse and business intelligence settings, in which developers must locate data in various systems, extract it using native tools, and perform transformation, conversion, cleansing, and standardisation. In comparison, the right side contains tools and data that have been configured and are ready for self-service use.

Govern

Governance is about comprehending the laws, procedures, and systems that govern data sharing, Levy explained. “My simplistic perspective of data governance is that I require it only when numerous people access the data.”

When data is contain in a centralised system, he explained, the rules are already specify. The system’s rules govern the data. However, if data is move between systems and between various personnel, governance is essential to ensure that the rules connected with that data remain intact.

Businesses that are heavily regulate or those that handle a large amount of consumer information will be on the right side of the slider, due to privacy and protection requirements. Individual business units or companies that do not exchange data will be closer to the left, he explained, because without data sharing, the demand for more governance does not exist.

The Fundamental Components

These five components enable the separation of several areas accountable for the Data Strategy Scorecard. In most organisations, he explained, the people responsible for metadata and data standards are distinct from those responsible for data integration, and those individuals are distinct from those responsible for platform and system administration, resulting in frequently four or five distinct groups working together. “Therefore, the purpose of the components is to manage not only the variances in organisational concerns, but also the many functional issues.”

Identifying Strengths and Weaknesses

Levy included worksheets with the slide deck so that participants could examine their existing capabilities as well as their desired state. “Your strategies should be entirely focused on closing those gaps.”

Levy warned that he included numerous options to allow for customization of the tool for a number of contexts, and there is no requirement that all 25 areas be handle. Rather than that, he proposes focusing on the parts that are critical and ignoring those that are not. “Pick one component area and concentrate on it; when you gain a better understanding of what is require, look at the others and add them incrementally.”

Source: data science in Malaysia , data science course Malaysia 

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