Digital landscape audit

Answer the question “How should the data and digital service landscape change in order to meet our company’s current and future business needs?”

Our digital landscape audit will help your IT specialists and management learn how to answer the question “How should the data and digital service landscape change in order to meet our company’s current and future business needs?” This service is targeted at organizations pursuing digital transformation or feeling that the existing IT landscape is not enough.
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Audit Scope

Survey of data source systems
  • Collecting information on hardware standards
  • System software inventory
  • Analysis of both source integrations with other systems and application software used in them
  • Availability of additional environments for source systems (test/dev, DR, etc.) and regulations on transferring development progress and data between environments
  • Data backup policy, fault and disaster tolerance regulations
  • Collecting information on data management practices (including traditional and implicit)
  • Interviewing about the load created on sources
Survey of data consumer systems
  • Interviewing about the value of data coming from sources by data channel and regulation
  • Assessing the potential for unification of business task fulfillment tools (such optimization may drastically reduce maintenance costs)
  • Analysis of data storage approaches (row- and column-oriented databases, compression, partitioning and sharding, storage media selected)
  • Collecting user feedback regarding data consumer system operation
Survey of integration infrastructure
  • Interviewing about practices and regulations pertaining to the use of change capture, data movement and transformation tools
  • Analysis of data tiering and model design approaches; provision of recommendations
  • Interviewing administrators about identified users’ pain points
  • Interviewing about integration infrastructure hardware
Analysis of the current approach to enterprise data storage and Big Data
  • Interviewing about Data Governance practices (data model maintenance methods, Data Lineage, S2T mapping, updating schedule)
  • Interviewing about existing or planned Big Data tools
  • Interviewing about key programming languages and technologies (core practices) currently in use
  • Interviewing about the business process used for connecting new data sources (from the introduction of the source system to using data in marts, BI, ML/AA/AI tools and sandboxes)
  • Interviewing about information security practices and opportunities for cloud-based dev/test environments
  • Interviewing about engaging integrators for one-time CAPEX- and labor-intensive tasks, as well as operational tasks
  • Analyzing the procedure for calculating and allocating data storage and Big Data ecosystem TCO across business units; interviewing about the vision of to-be allocation

Audit results

Presentation of collected information and recommendations:
  • PowerPoint presentation
  • Collected information on the above listed items
  • Three scenarios moving forward: conservative, ideal, and optimal.
Basis for digital transformation journey:
  • The basis for project planning in Microsoft Project
  • Objectives and Key Results (OKR) and minimum viable product (MVP)
  • Planning a quick win for each project.

Why audit?

Gaining a competitive edge mainly depends on a company’s ability to promptly manage new types of data:
  • receive,
  • transfer,
  • process,
  • analyze and make data-driven decisions.

At any time, competitors can come up with a service or a product that would require brand-new business processes, unprecedented data types, or instant response to actions of customers or other market players. To keep customers and market share, a business needs to prepare its data landscape for prompt reaction. Today, such preparation is called digitalization or digital transformation.

Digital transformation is to speed up your response to an external event. Before going digital, you need to determine your desirable to-be response time. For instance, it can be a technical capability to create a new business process (regardless of data type, movement speed, and stages) and integrate it into an existing IT landscape within a certain limited period of time (for example, two weeks). This is just the most common example, not necessarily applicable to your company. Anyway, once you have such an objective, a company should use it as reference for IT landscape transformation.

Three pillars of IT landscape transformation:

Elastic infrastructure
Ecosystem of digital services
Application software and business processes
Elastic infrastructure

Quick integration of outside resources (public or private cloud, on-premise equipment), linear scaling of equipment, flexible capacity provisioning and management across user groups, and handling different server architectures within a single IT landscape.

Ecosystem of digital services

A single tool to manage, monitor, and administer digital services (DBMSs, data transportation and modification, event detection and processing, advanced analytics, and other tools). Both the management tool and services should be able to use all elastic infrastructure advantages and allow application software and business process developers to realize any ideas they may have.

Application software and business processes

Data science, BPM diagrams, ESP/CEP workflows, and many other implementations that can turn any business ideas into reality. Business process and application software developers should be free to use any means and methods of implementation and promptly add any new tools to the ecosystem of digital services.

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Data landscape audit by Arenadata

Data landscape audit by Arenadata is to underpin your company’s digital leadership. Since digital transformation journey is rather challenging, a company needs to understand what to do exactly, how to manage risks, and how long each stage will take. You won’t avoid digital transformation. So embrace it and become a leader! To learn more about our data landscape audit, please fill in the form.
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