Buchmehrsal Real-time data analysis visualization for decision optimization

Data-based decisions in real time – ready to go in 60 seconds

Buchmehrsal connects portfolio and company data with predictive models and delivers prioritized recommendations for action before markets move forward.

Initial situation

When data volume slows down the decision

Dashboards, reports, market data: The amount of information available is growing faster than teams can evaluate it manually. Each additional table costs time - time that determines the outcome in volatile markets or short-term opportunities.

Buchmehrsal reduces this complexity to the essentials: a clearly prioritized recommendation, derived from a real-time analysis of your key figures - clearly documented and without manual preparatory work.

The result is not an additional dashboard, but a concrete basis for decision-making: which position to change, which risk to limit, which opportunity to prioritize.

Buchmehrsal analyst team evaluating real-time key figures
Facility

One-click portfolio setup

Your data is connected via secure interfaces – without manual entry, without an IT project. The ongoing real-time analysis begins with the first successful comparison.

One connection, one click

Depots, accounts or ERP exports are connected via standardized interfaces. Access data is transmitted encrypted and not stored in plain text.

Automatic categorization

Positions, asset classes and payment flows are automatically recognized and structured - regardless of the format of the original data.

Immediate risk classification

Even before the first manual check, an initial assessment of concentration risks and volatility is available.

01

Connect

Authorizing an account, depot or data export – usually takes a few seconds.

02

Analyze

The models compare your data with historical and current market patterns.

03

Decide

A prioritized list of concrete options for action is available within 60 seconds.

Methodology

How the forecast models work

Buchmehrsal's models combine statistical time series methods with learning components that are trained on historical market data as well as the ongoing real-time data from your portfolio. Instead of a single forecast, the system provides a probability band of possible developments - with an associated risk assessment.

Each recommendation is back checked against realized market results. If a model repeatedly deviates from the actual course, its weighting within the overall system is automatically reduced. This procedure does not replace a technical examination, but it does significantly shorten the path from raw data to a reliable basis for decision-making.

  • 01
    Raw data

    Accounts, portfolios, market feeds, company key figures.

  • 02
    Normalization

    Standardization of formats, currencies and time references.

  • 03
    Modeling

    Statistical and learning methods calculate scenarios.

  • 04
    Validation

    Comparison with realized market results.

  • 05
    Recommendation

    Prioritized, comprehensible options for action.

Application

For corporate strategy and private wealth creation

The platform is used by both financial teams and private investors with multiple income streams - with different focuses, same basic logic.

01

Capital allocation in medium-sized companies

A finance team uses real-time analytics to prioritize quarterly investment decisions across multiple business units, rather than relying on isolated spreadsheet reports from individual departments.

Typical effect: Decision templates are available within one working day instead of after several rounds of voting.
02

Portfolio building for working professionals

Employees with multiple sources of income combine portfolios and savings plans to obtain a consolidated risk assessment before allocating new capital.

Typical effect: Diversification gaps become visible that remain hidden in separate portfolio views.
Frequently asked questions

Answers to professional questions

The following points are most commonly clarified by finance teams and retail investors before the first connection.

How is my data protected?

Data connections are encrypted (TLS during transmission, encryption at rest). Access rights are assigned granularly so that individual users can only access the data sets that have been approved for them.

How reliable are the forecast models?

The models provide probability-weighted estimates, not guarantees. Each recommendation is continuously compared with actual market developments in order to adjust the model weighting.

Do I need previous technical knowledge to set it up?

No. The connection takes place via a guided dialogue; Credentials are authorized via standard interfaces without the need for configuration files or programming knowledge.

Which data sources are supported?

Among other things, bank and depot interfaces, ERP exports and standard data feeds are supported. Additional sources can be added using structured export formats.

Can I terminate the connection at any time?

Yes. Data connections can be disconnected at any time; If desired, saved data records can be completely deleted.

Start with a well-founded basis for decision-making

Connect your first portfolio or company data and receive a structured initial analysis within 60 seconds.

Start analysis now

Encrypted data transmission. Connection can be disconnected at any time.