gaul: microfinance data what is it, how can i get it and what can it tell me?

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The Premier Source for Microfinance Microfinance Information Exchange Microfinance Data What is it, how can I get it and what can it tell me? The Premier Source for Microfinance Data and Analysis This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited.

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The Premier Source for Microfinance

Microfinance Information Exchange

Microfinance DataWhat is it, how can I get it and what can it tell me?

The Premier Source for Microfinance

Data and Analysis

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

• Twitter: 140 million users

• All income strata

• Microfinance: 140 million users

• Focus on the poor

Where should I look for data on the marginalized and excluded?

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

• Range of uses

• Data easy to get

• Used for business investment,

household expenses, basic needs

• Data not-so-easy to get2

Where microfinance data comes from: inside the MFI

Back-office systems External reportingFront-office systems

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

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Pros:

Frequent

Granular (client-level)

Cons:

Not standardized

Confidential

Pros:

Standardized

Public

Cons:

Slow

Aggregated (inst.-level)

Pros:

Close to clients

Likely frequent

Cons:

Not digitized

Not standardized

Aggregate data helps to understand sector dynamics

Number of clients

(normalized for sector peak)

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

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Microfinance risk factors: early warning signalso

pe

rati

on

al

da

ta

Source: University

of Zurich, “Over-

indebtedness and

Microfinance

Constructing an

Early Warning

Index”

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

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Ba

sic

op

era

tio

na

l d

ata

Su

rvey

/ sen

time

nt d

ata

Identifying supply and demand gaps: Kenya

Access points by % financially excluded Access points by district-level poverty and

provider type

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

6

Identifying industry hotspots: Bosnia (post crisis)

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

7

Tracking industry sentiment: news on Kyrgyzstan

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

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Loan portfolios (10 years) Investment flows (5 years)

• Data comes from somewhere

– Understanding the supply chain for data is key to finding

scalable solutions

• Interpretation can be ambiguous

– Credit growth: positive investment outlook or debt spiral?

Key points for microfinance data

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

– Credit growth: positive investment outlook or debt spiral?

– Savings growth: bad investment outlook or asset-building?

– Risk indicators help identification, but are harder to find

• Augmenting with outside data sources provides

additional context

– Reputation risk and political and regulatory factors

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MIX partners with a dedicated group of industry leaders:

MIX Global and Project Partners

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

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Visit us on the Web:

www.themix.org ♦ www.mixmarket.org

Contact us: [email protected]

Regional Offices:

Baku, Azerbaijan 44 J. Jabbarli st. Caspian Plaza I, 5th Floor,

Microfinance Information Exchange

Headquarters:

1901 Pennsylvania Ave., NW, Suite 307Washington, D.C. 20006 USA

This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this

presentation without MIX’s prior written permission is strictly prohibited.

Interested in learning more about MIX?Sign up to receive our free e-mail

newsletters!

Find us on FacebookFollow us on Twitter: @mix_market

44 J. Jabbarli st. Caspian Plaza I, 5th Floor,Baku, Azerbaijan

Lima, PeruJirón León Velarde 333 Lince, Lima 14, Perú

Rabat, MoroccoImmeuble CDG Place Moulay Hassan

BP 408 Rabat Morocco

Hyderabad, IndiaRoad #12, Landmark Building, 5th Floor,Banjara Hills, Hyderabad 500034, India

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