Solutions

IT Spend analytics


It’s no fun, trying to make sense of disjointed spreadsheets that merely cobble together spend data from here and there across your organisation. Controlling costs and risks in this fast-moving, networked economy would be easier if you had a comprehensive spend analysis of company-wide spending, one that was enriched with reliable supplier data and available on demand.That’s where Vista can help you. We help you to improve visibility to your IT sourcing data, and total IT spends under management.

SpendAnalysis-3

This ultimately serve the decision making process and leading to cost reduction, operational changes, improving flexibility and agility in the IT organisation and directly impacts short and long term profitability of the company. We evaluate, understand and categorize the supply base:

  • Enhance/enrich data for effective analysis and actionable results
  • Leverage system functionality to automate tactical, repeatable processes
  • Increase visibility and integration of reporting and spending practices
  • Recommend sourcing strategies for cost reduction and operational changes also to improve flexibility, agility, short and long-term profitability
  • Educate, train and engage team members
  • You’ll be empowered to make better buying decisions and negotiate with greater clout because you’ll know where your current position is and can predict your possible futures with the help of our scenario builder.

    IT Sourcing Business Intelligence


    Generally, Business Intelligence is made up of an increasing number of components, these are:

    • Multidimensional aggregation and allocation
    • Denormalization, tagging and standardization
    • Realtime reporting with analytical alert
    • Interface with unstructured data source
    • Group consolidation, budgeting and rolling forecast
    • Statistical inference and probabilistic simulation
    • Key performance indicators optimization
    • Version control and process management
    • Open item management

    BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.

    With the help of BI data science, we help our clients to convert their data into meaningful business insights.

    This facilitates both strategic decision making process as well as day to day ones.

    BI-graphic

    Scenario planning and optimisation


    Scenario analysis is a process of analyzing possible future events by considering alternative possible outcomes (sometimes called “alternative worlds”). Thus, the scenario analysis, which is a main method of projections, does not try to show one exact picture of the future. Instead, it presents consciously several alternative future developments. Consequently, a scope of possible future outcomes is observable. Not only are the outcomes observable, also the development paths leading to the outcomes. In contrast to prognoses, the scenario analysis is not using extrapolation of the past. It does not rely on historical data and does not expect past observations to be still valid in the future. Instead, it tries to consider possible developments and turning points, which may only be connected to the past. In short, several scenarios are demonstrated in a scenario analysis to show possible future outcomes. It is useful to generate a combination of an optimistic, a pessimistic, and a most likely scenario. Although highly discussed, experience has shown that around three scenarios are most appropriate for further discussion and selection. More scenarios could make the analysis unclear.Vista platform provides the opportunity to change the KPIs and available data to generate different scenarios.

    Our platform has the possibility of optimising above scenarios and provides the best insights to the new ways of IT sourcing and predicts the outcomes for better understanding and wiser decision making approach.

    Optimisation