Home 01 - Tabs (Services, Smm-Services)
Basic Plan
Strategy & Research
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SEO Optimization
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Strategy & Research
Business & Finance Analysing
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Premium Plan
Strategy & Research
Business & Finance Analysing
SEO Optimization
Basic Plan
Strategy & Research
Business & Finance Analysing
SEO Optimization
Standart Plan
Strategy & Research
Business & Finance Analysing
SEO Optimization
Standart Plan
Strategy & Research
Business & Finance Analysing
SEO Optimization
Home 02 - Tabs 01
Data management strategy
- Understanding corporate strategy and governance policy
- Define data management charter and scope
- Data maturity assessment
- Roadmap (digitization/IT governance)
- Stakeholder engagement
- Stewardship and ownership
- Culture change
- Business execution
A data management strategy is a plan developed by an organization to effectively manage all its data throughout its lifecycle, from collection to archiving.
Process alignment
- New organizational processes and realignment
- Information architecture planning
- IT architecture planning
- Change management
Process alignment means aligning a company's operational activities with its strategic objectives. This involves adapting business processes, workflows and IT systems to effectively support the organization's overall objectives.
Implementation
- Throwing away the basics
- Data protection
- Security and confidentiality
- Metadata management
- Data quality management (DQM)
Implementation refers to the practical realization of a strategy, plan or project in an actual operating environment. This involves moving from theoretical conception to concrete realization, by putting in place the resources, processes and tools needed to achieve the set objectives.
Lifecycle management
- Plan & Design :Â Data architecture – Modeling – Design
- Â Activate and maintain : Big data storage – Data warehousing – Data lakes -Data integration
- Use and enhance : Data visualization BI – Data science – Data monetization
This process comprises several key stages, including data collection, storage, use, publication, archiving and deletion. The main aim of data lifecycle management is to optimize the use of data, while ensuring its integrity, security and regulatory compliance.
Reporting & Analysis
Mea in solet imperdiet, per in quis lucilius mediocritatem. Eam no saepe molestie salutandi, quando deterruisset delicatissimi mei ea, te dictas vivendum oportere vel.
Per ea quod iusto. Te autem pertinax vel, denique patrioque id per was be more.
Home 02 - Tabs 02 (Home 03 - Tabs, Pricing Plans)
Basic Plan
Basic Plan
SEO Audits
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SEO Copywriting
Link Building
Site Migration
Standart Plan
Standart Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Premium Plan
Premium Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Basic Plan
Basic Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Standart Plan
Standart Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Premium Plan
Premium Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Home 05 - Tabs
Basic Plan
Basic Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
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Standart Plan
Standart Plan
SEO Audits
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SEO Copywriting
Link Building
Site Migration
Premium Plan
Premium Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Basic Plan
Basic Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Standart Plan
Standart Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
Premium Plan
Premium Plan
SEO Audits
SEO Management
SEO Copywriting
Link Building
Site Migration
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