WHY EXCHANGELODGE?

Exchangelodge unifies disconnected systems and processes

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Data and Process problems impact the alternative investment industry everyday

PROBLEM

RESULT

IMPACT

Data entry mistake and omissions

Inconsistent data

Misinformed decisions

No industry standardization

Data provided in different formats

Inefficient manual processes

System don’t talk to each other

Data must be entered multiple times

Wasted time and resources

No data audit trail

Inability to track updates

Limited control and increased compliance risk

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  • PROBLEM

    Data entry mistake and omissions

    No industry standardization

    System don't talk to each ather

    No data audit trail

  • RESULT

    Inconsistent data

    Data provided in different formats

    Data must be entered multiple times

    Inability to track updates

  • IMPACT

    Misinformed decisions

    Inefficient msnual processes

    Wasted time and resources

    Limited control and increased compliance risk

There is a real cost associated with these problems

The key to making better decisions is trusted, quality data

Data quality sits at the intersection of accuracy, completeness, and timeliness.

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Operational efficiency is driven with process standards and automation

Reallocate resources to value-added work, reduce cost, and increase speed through workflow orchestration and the elimination of manual tasks.

Data integration can help overcome these problems. But how should you approach it?

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OPTION 1 - MANUAL REVIEW

You could manually review every piece of data that enters your firm.

That is an expense you cannot afford.

Data Quality

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Efficiency

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Risk Profile

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Data Quality

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Efficiency

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Risk Profile

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OPTION 2 - BLIND ACCEPTANCE

On the other hand, you could just accept all the data that is sent to you or collected and hope that is trustworthy.

That is a risk you cannot take.

Data Quality

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Efficiency

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Risk Profile

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OPTION 3 - THE OPTIMAL OUTCOME

Through automated oversight, Exchangelodge increases data quality, maximizes efficiency, and minimizes risk.

Focus on data exceptions and deliver trusted data.

Data Quality

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Efficiency

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Risk Profile

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