The situation in the media market is constantly changing amid rapidly developing technologies,
as well as the influence of a number of external factors that expand the opportunities for obtaining
and accessing information. Modern devices become more and more accessible and widespread
among the population and open up a wide range of media sources to the user.
Ukraine National Municipal Survey, March 2015 by IRIIlya Ponomarev
This document summarizes the results of a survey conducted in 22 regional capitals of Ukraine between March 2-20, 2015. Some key findings:
- 68% see corruption as a significant problem in their city
- 60% see nepotism as a significant problem
- 57% think Ukraine should join the EU if it could only join one economic union
- 47% would vote for Ukraine to join NATO if a referendum were held
- 35% think their city authorities are making efforts to reduce corruption at the municipal level
The survey involved over 17,000 respondents and provides insights into citizen attitudes about local governance, services, and reforms in Ukraine.
Public opinion survey of residents of Ukraine, May 26-June 10, 2018DonbassFullAccess
The survey was conducted throughout Ukraine from May 26 to June 10, 2018 through face-to-face interviews with 2,400 permanent Ukrainian residents aged 18 and older. The majority of respondents believe things in Ukraine are going in the wrong direction and that the economic situation has worsened over the past year. Most plan to vote in the upcoming 2019 parliamentary elections, with the Servant of the People party being the most popular choice.
Public Opinion PollResidents of KyrgyzstanmResearcher
В исследовании приняли участие 1 483 респондентов в возрасте от 18 лет и старше – граждане, которые уже имеют право голоса на выборах. Отмечается, что выборка была однородной по возрасту, полу и прописке.
Ukrainian Municipal Survey, 20 January – 8 February, 2016Dmytro Lysiuk
Ukrainian Municipal Survey
20 January – 8 February, 2016
This annual survey provides an unprecedented
window into citizen attitudes about local governance
and municipal services.
Methodology 5
Concern About Corruption and Nepotism 6
Moods and Attitudes 18
Commitment to Move Ukraine towards the West 26
Approval of and Satisfaction with Officials and Institutions 32
Assessment of the Quality of Public Goods and Services 52
Citizen Participation in Local Governance 81
Municipal Authorities’ Performance 95
Interaction with Local Authorities 108
Accessibility of Information on City Authorities and Institutions 113
Electoral Moods 124
Local or National Responsibility 132
Demographics 146
This document summarizes the results of regional election campaigns in Russia in 2013. It finds that United Russia generally won governor elections, but saw protest potential in some regions. Opposition parties like the Communist Party and Just Russia saw some success in legislative assembly elections where governors lacked influence. Notable exceptions where the opposition won include the mayoral elections in Yekaterinburg and Petrozavodsk. The document analyzes campaign features and outcomes in various regions and cities.
Owner-occupation is the clear tenure of choice for most Britons but they think politicians are not being honest about the prospects for people to own. These are among findings from new research by Ipsos MORI published today by the Chartered Institute of Housing.
The survey, conducted by Ipsos MORI in advance of the EU Referendum vote and the CIH’s annual conference in Manchester, found 46% of the view that people have equal opportunities to get ahead in Britain, a drop of seven points since 2008.
Ukraine National Municipal Survey, March 2015 by IRIIlya Ponomarev
This document summarizes the results of a survey conducted in 22 regional capitals of Ukraine between March 2-20, 2015. Some key findings:
- 68% see corruption as a significant problem in their city
- 60% see nepotism as a significant problem
- 57% think Ukraine should join the EU if it could only join one economic union
- 47% would vote for Ukraine to join NATO if a referendum were held
- 35% think their city authorities are making efforts to reduce corruption at the municipal level
The survey involved over 17,000 respondents and provides insights into citizen attitudes about local governance, services, and reforms in Ukraine.
Public opinion survey of residents of Ukraine, May 26-June 10, 2018DonbassFullAccess
The survey was conducted throughout Ukraine from May 26 to June 10, 2018 through face-to-face interviews with 2,400 permanent Ukrainian residents aged 18 and older. The majority of respondents believe things in Ukraine are going in the wrong direction and that the economic situation has worsened over the past year. Most plan to vote in the upcoming 2019 parliamentary elections, with the Servant of the People party being the most popular choice.
Public Opinion PollResidents of KyrgyzstanmResearcher
В исследовании приняли участие 1 483 респондентов в возрасте от 18 лет и старше – граждане, которые уже имеют право голоса на выборах. Отмечается, что выборка была однородной по возрасту, полу и прописке.
Ukrainian Municipal Survey, 20 January – 8 February, 2016Dmytro Lysiuk
Ukrainian Municipal Survey
20 January – 8 February, 2016
This annual survey provides an unprecedented
window into citizen attitudes about local governance
and municipal services.
Methodology 5
Concern About Corruption and Nepotism 6
Moods and Attitudes 18
Commitment to Move Ukraine towards the West 26
Approval of and Satisfaction with Officials and Institutions 32
Assessment of the Quality of Public Goods and Services 52
Citizen Participation in Local Governance 81
Municipal Authorities’ Performance 95
Interaction with Local Authorities 108
Accessibility of Information on City Authorities and Institutions 113
Electoral Moods 124
Local or National Responsibility 132
Demographics 146
This document summarizes the results of regional election campaigns in Russia in 2013. It finds that United Russia generally won governor elections, but saw protest potential in some regions. Opposition parties like the Communist Party and Just Russia saw some success in legislative assembly elections where governors lacked influence. Notable exceptions where the opposition won include the mayoral elections in Yekaterinburg and Petrozavodsk. The document analyzes campaign features and outcomes in various regions and cities.
Owner-occupation is the clear tenure of choice for most Britons but they think politicians are not being honest about the prospects for people to own. These are among findings from new research by Ipsos MORI published today by the Chartered Institute of Housing.
The survey, conducted by Ipsos MORI in advance of the EU Referendum vote and the CIH’s annual conference in Manchester, found 46% of the view that people have equal opportunities to get ahead in Britain, a drop of seven points since 2008.
Ke ipsos spec_poll_press_release_presentation_3rd_september_2015The Star Newspaper
This document provides the methodology and results of a survey conducted in Kenya between July 30th and August 9th, 2015. A random sample of 2,002 Kenyan adults were interviewed face-to-face. The survey covered topics like crime victimization, views on al-Shabaab and the deployment of the Kenyan Defense Forces in Somalia. It also includes demographic information about the respondents and trends from previous surveys. Strict quality control measures were employed to verify the data collection process.
Public opinion survey of residents of Ukraine, November 2015DonbassFullAccess
The document summarizes the results of a public opinion survey conducted in Ukraine between November 19-30, 2015. It provides details on the methodology, including that 1,800 residents nationwide and 1,284 residents of the Donbas region were interviewed face-to-face. The survey found high levels of pessimism, with most believing things are going in the wrong direction for Ukraine. Approval ratings for the president, prime minister and parliament were low. Economic assessments were also negative, with most saying the national and household economic situations had stayed the same or worsened over the past year.
This annual survey provides an extensivelook at citizen attitudes about local governance and municipal services.
Report link - http://www.iri.org/sites/default/files/2018-3-22_ukraine_poll.pdf
To fill existing gaps in the humanitarian information management system, primarily caused by accessibility and security issues, REACH developed the Area of Knowledge methodology. Every month the humanitarian need for different sectors was assessed in 7 out of 10 states. The information was presented in a factsheet ideated by Marco Pizzolato in November 2016.
The USAID-funded survey was conducted by Baltic Surveys/The Gallup Organization on behalf of IRI, and the fieldwork was carried out by Rating Group Ukraine.
Public Opinion Survey: Residents of MoldovamResearcher
The survey was coordinated by Dr. Rasa Alisauskiene from Baltic Surveys/The Gallup Organization on behalf of the Center
for Insights in Survey Research. The field work was carried out by Magenta Consulting.
Shifting ground: New political dividing lines? The interaction between leave/...Ipsos UK
This document analyzes survey results that show divisions between leave and remain voters along party lines. Key findings include:
- Conservative leave voters were more likely than others to feel that things were better in the past, that Britain is changing too fast, and that they feel like strangers in their own country. They also were more likely to want large reductions in immigration.
- Labour leave voters reported being more financially affected by spending cuts and more likely to say they are struggling financially. They also felt it is harder for them to get ahead and were more pessimistic about life in Britain.
- Overall, leave voters expressed more anxiety about immigration, globalization, and felt less trust in experts. Labour remain voters reported being most
Ipsos MORI - BBC Newsnight Post-Referendum ResearchIpsos UK
This document summarizes the results of a post-referendum poll conducted by Ipsos MORI between June 29-30, 2016. Key findings include:
- 89% of leave voters and 8% of remain voters thought leaving the EU was the right decision.
- 85% of leave voters and 79% of remain voters would vote the same way if another referendum was held.
- 38% of people overall felt more hopeful for the future after the vote to leave, while 41% felt less hopeful.
- Views were split on whether the UK will ultimately leave or remain in the EU.
This document discusses how the Texas Department of Public Safety's Highway Safety Operations Center collects and analyzes crash, criminal, and traffic enforcement data to help combat impaired driving. The HSOC provides analytical reports and data products to DPS and partner agencies. Analysis of holiday and weekend crash data found higher rates of impaired driving crashes on those days. Breaking data down by specific areas can help target enforcement efforts. The goals of the HSOC include statistical trend analysis and rapid assessment of incidents on Texas highways.
As we have for every general election since 1979, Ipsos MORI has produced estimates of how the voters voted in 2017. Here are the key findings from the results.
Analysis of the results of local elections 2015Rating Pro
1) According to vote tallies, Petro Poroshenko Bloc "Solidarnist" received 19.4% of the vote, Batkivshchyna received 12%, and Opposition bloc received 11.5% in the local elections for regional councils.
2) Voter turnout was less than half of eligible voters, one of the lowest rates in Ukrainian election history, despite polls showing support for more regional power.
3) Only political forces that sharply criticized the central government, such as UKROP and Batkivshchyna, were able to increase their gains compared to the 2014 parliamentary elections.
Survey of Ukrainian Public Opinion: May, 2013Igor Tyshchenko
This document summarizes the results of a public opinion survey conducted in Ukraine from May 14-28, 2013. Over 1,200 Ukrainian residents were interviewed face-to-face. The survey found that most respondents believe the country is heading in the wrong direction and their financial situation has worsened over the past year. Unemployment, corruption, and low industry production were identified as the most important issues facing Ukraine. A plurality support Ukraine joining the European Union over a trade union with Russia.
Public Attitudes to Immigration - May 2017Ipsos UK
New polling by Ipsos MORI finds most Britons are pessimistic about Theresa May’s likelihood of success to hit her target to cut net migration to the “tens of thousands” in the next few years. Two in three (68%) say that it is either not at all likely or fairly unlikely that the Conservatives will be able to achieve this target while just 18% think that they will. Nevertheless, when it comes to deciding what a “sustainable” level of net migration should be only one in five (20%) think this is would be 100,000 or above (after being told that it currently stands at 273,000). Half (49%) think it should be 100,000 or less and 30% are unsure.
The document provides a summary of a survey conducted at five entry-exit checkpoints (EECPs) along the line of contact in eastern Ukraine in October 2018. Some key findings include:
- The majority (87%) of respondents were residents of the non-government controlled area (NGCA) and crossed primarily to deal with documents/payments or visit relatives.
- Most respondents (58%) spent 4-5 hours crossing, with the longest times at Marinka EECP. Crossing typically took longer on the NGCA side except at Stanytsia Luhanska.
- Reconstruction continued at two EECPs during the reporting period, leading to changes in lines and crossing times.
Spatial regression model predicting Thailand’s election โดย อาจารย์ ดร. อานน...BAINIDA
The document discusses a conference on business analytics and data science in Thailand that included several presentations and topics:
1) Using data science to predict the results of Thailand's upcoming election and factors like social, economic, geographic, and demographic variables that could influence election outcomes.
2) Building spatial regression models to predict election results based on past voting data and other metrics.
3) One presentation discussed building a spatial negative binomial regression model to predict Thailand's 2011 election results based on 2005 and 2007 election data as well as socioeconomic and demographic variables.
The Kenyan Economy: Perceptions and Realities Ipsos
In this release, we present several findings related to the economy.
Underpinning the specific findings is the general reality that three-quarters of all Kenyan households (75%) report a total family income of Shs. 25,000 or less, with more than half of these households (44%) earning between nothing and only Shs. 10,000 (a figure which increases to 46% if those who declined/were unable to answer this question are excluded). In addition, as is seen in several of the specific findings show below, such extensive poverty takes a clear regional dimension. For example, the proportion of those in the Shs. 10,000 and below category is 56% at the Coast compared to 56% in Nairobi, more than twice.
At the same time, these income-group findings over all three Ipsos surveys since May, 2014 show no statistical change, reflecting both the static nature of income-distribution in Kenya, and the reliability of Ipsos’ survey methodology.
Foreign Relations: Perceived Impact on Kenya’s Development-PresentationIpsos
Ipsos conducted a poll of 1,964 Kenyan adults between March 28th and April 7th 2015 regarding perceptions of foreign countries. The methodology involved random, multi-stage stratified sampling with a sampling error of +/-2.2%. When asked which foreign country is most important for Kenya's development, 35% chose the USA and 23% chose China. 28% said China poses the biggest threat to Kenya's economic and political development, while 21% said the USA.
Foreign Relations: Perceived Impact on Kenya’s Development Ipsos
• US-China global super-power rivalry evident in Kenyans’ perceptions of development needs and concerns.
Introduction
As U.S. Secretary of State John Kerry continues with his high-level meetings, he may be interested to know who Kenyans consider are their most valuable development partners, as well as which foreign countries outside the immediate East Africa region whose perceived interests in Kenya cause them most concern. These realities formed part of Ipsos’ most recent national survey.
Confident with the Principle, Critical with the Practice: Kenyans Speak Out ...Ipsos
There is overwhelming support for devolution by the public, with more than three-quarters (78%) expressing this view. This represents a considerable increase since last September, when such support was expressed by only two-thirds (69%) of all respondents.
This document summarizes the results of an opinion poll conducted by Ipsos in Kenya regarding awareness and support for the country's constitutional requirement that women comprise at least one-third of elected bodies. The poll was conducted from March 28 to April 7, 2015 among 1,964 Kenyan adults through in-person interviews. It finds that 39% of respondents were aware of the one-third gender rule, though awareness was higher among women and supporters of specific political parties. Among those aware, 52% thought the requirement would not be met by the August 2015 deadline but most felt the rule would improve politics and governance.
This document summarizes the results of an opinion poll conducted by Ipsos in Kenya regarding awareness and support for the country's constitutional requirement that women comprise at least one-third of elected bodies. The poll was conducted from March 28 to April 7, 2015 among 1,964 Kenyan adults through in-person interviews. It finds that 39% of respondents were aware of the one-third gender rule, though awareness was higher among women and supporters of specific political parties. Among those aware, 52% believed the requirement would not be met by the August 2015 deadline, though most felt increasing women's representation would improve politics and governance.
Ke ipsos spec_poll_press_release_presentation_3rd_september_2015The Star Newspaper
This document provides the methodology and results of a survey conducted in Kenya between July 30th and August 9th, 2015. A random sample of 2,002 Kenyan adults were interviewed face-to-face. The survey covered topics like crime victimization, views on al-Shabaab and the deployment of the Kenyan Defense Forces in Somalia. It also includes demographic information about the respondents and trends from previous surveys. Strict quality control measures were employed to verify the data collection process.
Public opinion survey of residents of Ukraine, November 2015DonbassFullAccess
The document summarizes the results of a public opinion survey conducted in Ukraine between November 19-30, 2015. It provides details on the methodology, including that 1,800 residents nationwide and 1,284 residents of the Donbas region were interviewed face-to-face. The survey found high levels of pessimism, with most believing things are going in the wrong direction for Ukraine. Approval ratings for the president, prime minister and parliament were low. Economic assessments were also negative, with most saying the national and household economic situations had stayed the same or worsened over the past year.
This annual survey provides an extensivelook at citizen attitudes about local governance and municipal services.
Report link - http://www.iri.org/sites/default/files/2018-3-22_ukraine_poll.pdf
To fill existing gaps in the humanitarian information management system, primarily caused by accessibility and security issues, REACH developed the Area of Knowledge methodology. Every month the humanitarian need for different sectors was assessed in 7 out of 10 states. The information was presented in a factsheet ideated by Marco Pizzolato in November 2016.
The USAID-funded survey was conducted by Baltic Surveys/The Gallup Organization on behalf of IRI, and the fieldwork was carried out by Rating Group Ukraine.
Public Opinion Survey: Residents of MoldovamResearcher
The survey was coordinated by Dr. Rasa Alisauskiene from Baltic Surveys/The Gallup Organization on behalf of the Center
for Insights in Survey Research. The field work was carried out by Magenta Consulting.
Shifting ground: New political dividing lines? The interaction between leave/...Ipsos UK
This document analyzes survey results that show divisions between leave and remain voters along party lines. Key findings include:
- Conservative leave voters were more likely than others to feel that things were better in the past, that Britain is changing too fast, and that they feel like strangers in their own country. They also were more likely to want large reductions in immigration.
- Labour leave voters reported being more financially affected by spending cuts and more likely to say they are struggling financially. They also felt it is harder for them to get ahead and were more pessimistic about life in Britain.
- Overall, leave voters expressed more anxiety about immigration, globalization, and felt less trust in experts. Labour remain voters reported being most
Ipsos MORI - BBC Newsnight Post-Referendum ResearchIpsos UK
This document summarizes the results of a post-referendum poll conducted by Ipsos MORI between June 29-30, 2016. Key findings include:
- 89% of leave voters and 8% of remain voters thought leaving the EU was the right decision.
- 85% of leave voters and 79% of remain voters would vote the same way if another referendum was held.
- 38% of people overall felt more hopeful for the future after the vote to leave, while 41% felt less hopeful.
- Views were split on whether the UK will ultimately leave or remain in the EU.
This document discusses how the Texas Department of Public Safety's Highway Safety Operations Center collects and analyzes crash, criminal, and traffic enforcement data to help combat impaired driving. The HSOC provides analytical reports and data products to DPS and partner agencies. Analysis of holiday and weekend crash data found higher rates of impaired driving crashes on those days. Breaking data down by specific areas can help target enforcement efforts. The goals of the HSOC include statistical trend analysis and rapid assessment of incidents on Texas highways.
As we have for every general election since 1979, Ipsos MORI has produced estimates of how the voters voted in 2017. Here are the key findings from the results.
Analysis of the results of local elections 2015Rating Pro
1) According to vote tallies, Petro Poroshenko Bloc "Solidarnist" received 19.4% of the vote, Batkivshchyna received 12%, and Opposition bloc received 11.5% in the local elections for regional councils.
2) Voter turnout was less than half of eligible voters, one of the lowest rates in Ukrainian election history, despite polls showing support for more regional power.
3) Only political forces that sharply criticized the central government, such as UKROP and Batkivshchyna, were able to increase their gains compared to the 2014 parliamentary elections.
Survey of Ukrainian Public Opinion: May, 2013Igor Tyshchenko
This document summarizes the results of a public opinion survey conducted in Ukraine from May 14-28, 2013. Over 1,200 Ukrainian residents were interviewed face-to-face. The survey found that most respondents believe the country is heading in the wrong direction and their financial situation has worsened over the past year. Unemployment, corruption, and low industry production were identified as the most important issues facing Ukraine. A plurality support Ukraine joining the European Union over a trade union with Russia.
Public Attitudes to Immigration - May 2017Ipsos UK
New polling by Ipsos MORI finds most Britons are pessimistic about Theresa May’s likelihood of success to hit her target to cut net migration to the “tens of thousands” in the next few years. Two in three (68%) say that it is either not at all likely or fairly unlikely that the Conservatives will be able to achieve this target while just 18% think that they will. Nevertheless, when it comes to deciding what a “sustainable” level of net migration should be only one in five (20%) think this is would be 100,000 or above (after being told that it currently stands at 273,000). Half (49%) think it should be 100,000 or less and 30% are unsure.
The document provides a summary of a survey conducted at five entry-exit checkpoints (EECPs) along the line of contact in eastern Ukraine in October 2018. Some key findings include:
- The majority (87%) of respondents were residents of the non-government controlled area (NGCA) and crossed primarily to deal with documents/payments or visit relatives.
- Most respondents (58%) spent 4-5 hours crossing, with the longest times at Marinka EECP. Crossing typically took longer on the NGCA side except at Stanytsia Luhanska.
- Reconstruction continued at two EECPs during the reporting period, leading to changes in lines and crossing times.
Spatial regression model predicting Thailand’s election โดย อาจารย์ ดร. อานน...BAINIDA
The document discusses a conference on business analytics and data science in Thailand that included several presentations and topics:
1) Using data science to predict the results of Thailand's upcoming election and factors like social, economic, geographic, and demographic variables that could influence election outcomes.
2) Building spatial regression models to predict election results based on past voting data and other metrics.
3) One presentation discussed building a spatial negative binomial regression model to predict Thailand's 2011 election results based on 2005 and 2007 election data as well as socioeconomic and demographic variables.
The Kenyan Economy: Perceptions and Realities Ipsos
In this release, we present several findings related to the economy.
Underpinning the specific findings is the general reality that three-quarters of all Kenyan households (75%) report a total family income of Shs. 25,000 or less, with more than half of these households (44%) earning between nothing and only Shs. 10,000 (a figure which increases to 46% if those who declined/were unable to answer this question are excluded). In addition, as is seen in several of the specific findings show below, such extensive poverty takes a clear regional dimension. For example, the proportion of those in the Shs. 10,000 and below category is 56% at the Coast compared to 56% in Nairobi, more than twice.
At the same time, these income-group findings over all three Ipsos surveys since May, 2014 show no statistical change, reflecting both the static nature of income-distribution in Kenya, and the reliability of Ipsos’ survey methodology.
Foreign Relations: Perceived Impact on Kenya’s Development-PresentationIpsos
Ipsos conducted a poll of 1,964 Kenyan adults between March 28th and April 7th 2015 regarding perceptions of foreign countries. The methodology involved random, multi-stage stratified sampling with a sampling error of +/-2.2%. When asked which foreign country is most important for Kenya's development, 35% chose the USA and 23% chose China. 28% said China poses the biggest threat to Kenya's economic and political development, while 21% said the USA.
Foreign Relations: Perceived Impact on Kenya’s Development Ipsos
• US-China global super-power rivalry evident in Kenyans’ perceptions of development needs and concerns.
Introduction
As U.S. Secretary of State John Kerry continues with his high-level meetings, he may be interested to know who Kenyans consider are their most valuable development partners, as well as which foreign countries outside the immediate East Africa region whose perceived interests in Kenya cause them most concern. These realities formed part of Ipsos’ most recent national survey.
Confident with the Principle, Critical with the Practice: Kenyans Speak Out ...Ipsos
There is overwhelming support for devolution by the public, with more than three-quarters (78%) expressing this view. This represents a considerable increase since last September, when such support was expressed by only two-thirds (69%) of all respondents.
This document summarizes the results of an opinion poll conducted by Ipsos in Kenya regarding awareness and support for the country's constitutional requirement that women comprise at least one-third of elected bodies. The poll was conducted from March 28 to April 7, 2015 among 1,964 Kenyan adults through in-person interviews. It finds that 39% of respondents were aware of the one-third gender rule, though awareness was higher among women and supporters of specific political parties. Among those aware, 52% thought the requirement would not be met by the August 2015 deadline but most felt the rule would improve politics and governance.
This document summarizes the results of an opinion poll conducted by Ipsos in Kenya regarding awareness and support for the country's constitutional requirement that women comprise at least one-third of elected bodies. The poll was conducted from March 28 to April 7, 2015 among 1,964 Kenyan adults through in-person interviews. It finds that 39% of respondents were aware of the one-third gender rule, though awareness was higher among women and supporters of specific political parties. Among those aware, 52% believed the requirement would not be met by the August 2015 deadline, though most felt increasing women's representation would improve politics and governance.
Drive Offline Response with Online AdvertisingBlackbaud
The document summarizes two case studies on using online advertising to drive offline responses. The first case study describes a campaign for the University of Indiana that achieved a 17% increase in gifts and a 16.4% increase in revenue through targeted online display ads. The second case study examines a campaign for the Environmental Defense Fund that aimed to complement a direct mail campaign and evaluate the impact on response rates and donations.
Creating Better Customer Experiences Online (with Top Tasks) presented by Ger...Patrick Van Renterghem
Creating Better Customer Experiences Online (with Top Tasks) presented by @GerryMcGovern on Dec. 4th, 2013 @itworks. Interesting for Web (Internet, Intranet, portals) designers, content managers, communication officers, marketing departments, ...
Improving the Small Business Customer ExperienceBredin, Inc.
It’s a common perception that small businesses think all banks are alike. They don’t. Their experience with, and perceptions of, different banks vary widely. And that means that the fortunes of banks serving SBOs can also vary widely.
To help you improve SBO customer experience — and as a result, acquisition, retention and revenue — we recently surveyed 500 U.S. small business principals. The findings are instructive; there are some great learnings on what SBOs want from their bank – and how they feel about your company.
Patterns of political elite formation in post soviet Armenia (ASCN funded res...Hamazasp Danielyan
This document summarizes research on patterns of political elite formation in post-Soviet Armenia. It describes the project's objectives to describe and conceptualize how political elites are formed, recruited, and their motivations and values. The methodology included surveys, interviews, and biography analysis. Key findings from the survey showed that most see their future as better and have higher trust in local government than political parties. The document concludes that possible political elite representatives include civil servants, members of political parties who are already involved in politics, and those in local government.
Ipsos conducted its first quarterly SPEC survey during the period of 28th March to 7th April 2015. The topics covered in this Media Release are: (1) corruption, (2) the al-Shabaab threat, and (3) the digital migration. The questionnaire was finalized immediately after the President’s ‘State of the Nation’ address to parliament. Because the Garissa attack occurred after fieldwork had begun, no questions about this tragic event could be included. However, since about two-thirds of all field interviews had been completed by 2nd April, and the final one-quarter were conducted between 3rd and 7th April, it has been possible to compare responses on certain relevant questions by these two sections of the respondents.
Alpha Media March 2024 Buyers Guide.pptxDave McCallum
Alpha Media radio stations KUIC, KBAY, KEZR, and KKIQ can help increase your business. Contact Dave McCallum to learn more.
(707) 452-2307 Dave.McCallum@AlphaMediaUSA.com
The document outlines a framework for a community-based monitoring project (CBMP) in Malawi. It describes the objectives to build community and CSO capacity for demanding government accountability on public funds. It details the implementation structure from the village to national levels, using community scorecards and other tools to assess services and engage stakeholders. It also establishes guidelines for monitoring and evaluating the progress of the CBMP through indicators, reporting, and responsibilities of organizations involved.
Double billboards were found to achieve very high campaign awareness, up to 68% according to IPSOS PULS research. The research involved surveying 253 respondents across 4 cities in Croatia about advertising awareness from billboards in the last month. The most commonly recalled billboard advertised Majlonke pantyhose for men with the phrase "Are you a real man?", and 68% of respondents reported having seen this billboard. Awareness varied between cities.
The news of corona virus has changed the behaviors of Vietnamese. This survey clarifies the impact of the news to their protection behaviors as well as changes in their lives
This survey was conducted among 18-49 years old of 672 samples in 2020 February
MarkPlus on Indonesia Internet Users 2013 - Marketeers Nov 2013 editionWaizly Darwin
Some thoughts and analysis on Indonesia Internet Users in 2013, Penetration, segmentation, spending habits of the netizens.
Note: This document was presented at Jakarta Marketeers Club Dinner Seminar in October 2013 and published for Marketeers Magazine November 2013 Issue "What's Wrong with Michael Porter" which got a gold medal at Indonesia Print Media Award (IPMA) 2014.
Tanzania election poll report english versionIpsos
This document provides a summary of a survey conducted in Tanzania by Ipsos in September 2015. It includes the methodology used, demographics of respondents, key issues facing Tanzania as identified by respondents, measures to reduce local poverty, levels of trust in political parties on various issues, and presidential candidate preferences. The survey had a sample size of over 1,800 respondents across Tanzania and used in-person interviews to collect data. It provides insights into citizens' views on social, economic and political topics in Tanzania at that time.
The document summarizes the progress and plans of the UK Office for National Statistics' (ONS) Administrative Data Census Project. The project aims to replace the traditional census with population statistics derived from administrative data by 2021. So far, the project has had success producing population estimates from linked health and tax records. However, fully replacing the census will require improved access to additional administrative data, better data linkage methods, and methods to produce a wider range of statistical outputs to meet user needs. The assessment concludes that while estimates of population size and numbers of households may be feasible by 2023, fully replacing the census with administrative data alone is unlikely due to limitations in available data and methods. Continued progress will depend on new legislation, engagement with
The document describes e-PRS, an electronic population registration system used in Tanzania to collect and manage household and individual data through mobile phones. It provides details on the content collected such as location, demographics, education, and links to other systems. The system has been piloted in several regions of Tanzania and shows potential to improve planning, monitoring, and linking of various sectors like education, health and statistics.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. Subtitle About Your Company
«Soros
Kyrgyzstan»
Foundation
М-Vector
Internews
Network
in Kyrgyz
Republic
2
Main initiators «Media Research 8th wave»,
October-November, 2017.
3. Subtitle About Your Company
3
«M-Vector» - research and consulting company, focuses on sociological
and marketing research, consulting and training in the fields of strategic and
marketing management.
Our values – responsibility, professional development, teamwork
About «М-Vector»
4. Subtitle About Your Company
4
Consulting
Business-planning
Marketing and sales management
Personnel management
Monitoring and Project Evaluation
Trainings
Research, data analysis
Marketing and sales management
Business-planning
Research
Marketing, Social
Electoral, Media Research
Field research and data input
On
market
since
1997
1035
Projects Leader
on market research in
Kyrgyz Republic
700Field
employees
Branch in
RT since
2005
About Company in Numbers Specialization
About Us
6. Subtitle About Your Company
6
CREATIVE IDEA
Media research in Kyrgyz Republic is consistently
conducted by M-Vector since 2011
Quantitative research
across all country regions
Indicator estimation in media market
Analysis of TV dynamics, Radio,
Printed mass media and Internet
Media Research / Project Description
7. 7
Beneficiaries
Subjects of a
media market
TV channels, their owners
Content producers and their clients
Advertisers: private / public
Advertisement / consulting agencies
Country citizens
Government agencies and ministries
International and donor organizations
Radio stations, their owners
Goals & objectives of the project
Primary goal – development of local media market
Objectives – provide users with practical information for decision making on an regular basis
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8
2011 2012 2012 2013 2014 2015
June December September November
TV
Radio
Newspapers
Internet
Extra. section
3500
respondents
18+
2400
respondents
18+
2400
respondents
14+
2400
respondents
14+
2000
respondents
14+
2000
respondents
14+
TV
Radio
Newspapers
Internet
Extra. section
TV
Radio
Newspapers
Internet
TV
Radio
Internet
Lifestyle
TV TV
Radio
Newspapers
Internet
Digital TV
2016
November
TV
Newspapers
Internet
Life Style
Digital TV
Project «Media Research» conducted by M-Vector
Program of Transition Initiatives KRTI / USAID
United media committee and other market players involved
Involvement of other market players
February
2017
TV
Radio
Newspapers
Internet
Digital TV
October-November October-November
2150
respondents
14+
2167
respondents
14+
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10
Target audience Methods Effectiveness Geography
Methodology
Population
14 year and above:
Men and women
Semi-structured personal
interviews on tablets
through face-to-face method
Survey languages:
Kyrgyz, Russian,
Uzbek
Sample:
2 167
respondents
Survey period:
From 30st of October
to 5th of November
Random representative
sample
141
Settlements across
whole countrySample error
±2% on a country level
(at 95% significance level).
Weighing conducted across
regions, ages, gender and
settlement type
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11
Sample representativeness
In order to conduct a similar research survey in
Russian Federation, it is enough to approach 1 500 people
121, 256 mln 4, 270 mln
True population (population
older than 14+)
In Kyrgyz Republic population size is significantly
smaller, however the sample size is 2 167 respondents
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Полевые работы
Geolocation of a survey can
be detected through GPS
Interview audio records allow
to ensure additional control
Interview audio recording
function allows to monitor
interviewers’ quality of work
Human factor related to
unintentional mistakes made
while filling in questionnaires,
is diminished
Information obtained from
regions using tablets is
instantly stored on a common
server database
12
Advantages of conducting surveys on tablets
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Trainings for
interviewers and
supervisors
100% interview
audio recording
on tablets
100% control on
completeness
transition, logic.
10% verification
control through
repeated
respondent visits;
30% verification
control through
audio record
audition
13
Quality control
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14
Sample geolocation
50 settlements
141 settlements
15 cities
35 villages
16 cities
125 villages
2015, 2016 year
2017 year
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Region Population %
Number of respondents
Before weighing After weighing
1 Bishkek city 724 235 17,0% 352 369
2 Osh city 202 866 4,8% 257 103
3 Chui oblast 647 524 15,2% 230 328
4 Talas oblast 168 633 3,9% 200 85
5 Issykul oblast 333 762 7,8% 204 172
6 Batken oblast 339 990 8,0% 200 172
7 Jalalabad oblast 798 191 18,7% 254 409
8 Osh oblast 862 983 20,2% 270 432
9 Naryn oblast 191 279 4,5% 200 98
Total 4 269 463 100% 2 167 2 167
15
Selective sampling across regions and settlement types
Settlement type Population %
Number of respondents Number of settlements
Before weighing After weighing State. Stat. Com Sample
1 City 1 508 322 35,3% 908 772 31 16
2 Village 2 761 141 64,7% 1 259 1 395 1 824 125
Total 4 269 463 100% 2 167 2 167 1 855 141
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Gender, N=2167
18
Socio-demographic portrait
Income ** N=2167
Age, N=2167
Education level of a respondent, N=2167
6.5%
10.3%
14.4%
16.9%
25.3%
17.2%
9.4%
65 and older
55-64
45-54
35-44
25-34
18-24
14-17
27.1%
27.4%
38.5%
7.0%
Not sure
Low
Average
High
**Average household income per capita, where low – less than 2500 soms per month,
average – less than 10000 soms and high – more than 10000 soms.
48,4% 51,6%
N=1050 N=1118
0.2%
20.9%
2.9%
13.6%
51.9%
8.8%
0.6%
0.9%
0.2%
Don't know
Higher education
Incomplete higher education
Vocational school
High-school education
Incomplete high-school education
Elementary education
Incomplete elementary education
No education
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Socio-demographic portrait
Possession of Electronics (devices), N=2167
38.2%
19.7%
14.9%
20.9%
20%
6%
6%
6%
42%
74.3%
79.5%
72.9%
CD/DVD
Laptop
Tablet
Computer
Have and use Have but I don't use Don't have
18
46.4%
34.4%
53.6%
65.6%
2016 (N=2150)
2017, (N=2167)
Yes, I use No, I don't use
Possession of an automobile among active TV and Radio
audiences , N=2167
Steering wheel position on automobile, N=2167
Dynamics in use of banking services and
micro-credit organizations
45.0%
55.0%
No, I don't have a car
Yes, I have a car
16.3%
38.7%
45.0%
Right side wheel Left side wheel I don't have a car
20. Watched TV for the past 6 months
at least for 5 minutes
Level of internet penetration
has increased in comparison
to 2016 by +6.9%. Mobile
internet constitutes the largest
portion of it
Percentage of newspaper
readers decreases each
year.
In comparison to 2016,
decrease in 2017 has
amounted to 2.9%
Transition to Digital TV
Broadcasting has
significantly increased in
2017
*Digital terrestrial and social packages
2016 20172015
21
Kyrgyz Republic, 14 years and above: % users
Level of penetration (access)
Listened to radio at least for 5
minutes for the past 6 months
13.0%
99.8%
79.9%
48.2%
54.0%
48.0%
97.3% 92.2%
52.5% 50.0%
87.5%
97.0%
76.1%
59.4%
47.1%
2013
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Динамика по Кыргызстану
Television Radio Internet Newspapers
2016
2017
22
Sources of information
79.6%
4.5%
21.9%
7.9%
65.2%
6.2%
40.7%
7.0%
Q10. From which of the sources do you receive information?
1,9 times
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Sources of information
Television Radio Internet Newspapers
4%
2%
4%
3%
9%
3%
3%
4%
13%
6%
4%
5%
5%
11%
3%
8%
5%
10%
7%
4%
8%
6%
10%
9%
4%
5%
31%
7%
8%
5%
9%
12%
2%
4%
7%
24%
68%
73%
84%
86%
86%
78%
76%
88%
90%
56%
61%
72%
53%
73%
75%
62%
66%
70%
Bishkek city (N=369)
Osh city (N=103)
Chui oblast(N=328)
Talas oblast (N=85)
Issykul oblast (N=172)
Batken oblast (N=172)
Jalalabad oblast ( N=409)
Osh oblast (N=432)
Naryn oblast (N=98)
2016
2017
Q10. From which sources do you receive information?
In comparison to 2016, respondents receive less information from TV, while online internet sources become more popular
37%
26%
17%
17%
20%
23%
20%
12%
17%
57%
47%
35%
47%
28%
29%
44%
35%
41%
*multiple choice question
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1 – I don’t trust at all, 10 – I completely trust
6.6 6.3
5.9 5.65.9
6.3
5.8
6.6
1
2
3
4
5
6
7
8
9
10
TV Радио Интернет Газеты
24
Trust to Information Sources
Q12. On a 1-10 scale, rate how well do you trust seen /hear information?
2016
2017
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26
According to a digital television transition program, by the end of 4 stages, 95% of Kyrgyz
Republic’s population should have access to a digital television
Digital TV broadcast transition program
1st stage finished on 6th
Of November 2014
2nd stage before
May 2014
3rd stage June-October
2015
4th stage finished on 8th
Of September 2016
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29
Satellite
CABLE
Analog
INTERNET TV
Satellite
CABLE
Analog
Digital terrestrial (tuner,
receiver)
INTERNET TV
Don’t own TV
87,5%
2,1%
5,9%
5,1%
2,9%
53,7%
38,9%
1,5%
10,7%
4,1%
2,6%
*Multiple choice answer
2016 2017
**After transition to Digital Television in Kyrgyzstan in 2017, Analog TV broadcast was terminated
0%**
Digital terrestrial (tuner,
receiver)
27
Dynamics of use by types of television
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Used types of television, North and South
*Multiple choice question
North: Bishkek city, Chui oblast, Talas oblast, Issykul oblast, Naryn oblast
South: Osh city, Jalalabad oblast, Batken oblast, Osh oblast
CQ1. To which type of television do you have an access?
87.5%
5.9%
5.1%
2.1%
2.9%
Digital Terrestrial
Satellite
Internet TV
Cable
Don't own TV
83.1%
6.1%
9.2%
3.9%
3.2%
KYRGYZ REPUBLIC
91.7%
5.7%
1.2%
.4%
2.7%
SOUTHNORTH
28. Subtitle About Your CompanyGeneral access level to a digital TV broadcast is - 88%
92%
92%
82%
96%
97%
65%
90%
99%
94%
13.0%
48.0%
87.5%
2015
2016
2017
+40%
+35%
29
Penetration level of Digital TV across regions
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Gender
30
Audience profile that have access to a Digital TV
Settlement type
87,8% 86,9%
Interpretation: Amon all respondents men that have access to
Digital TV is 87,8%, among women it is 86,9%
Age
Income level
13%
48%
88%
2015 2016 2017
Dynamics of access
to Digital TV
79%
93%
21%
7%
City (N=773)
Village (N=1394)
84%
93%
88%
74%
16%
7%
12%
26%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
89%
87%
89%
87%
87%
85%
90%
11%
13%
11%
13%
13%
15%
10%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Have access to Digital TV
Don't have access to Digital TV
N=1050 N=1118
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31
Practice of Digital TV use
Evaluation of social digital TV broadcast packages, where 1 – does not match
at all, and 5 – fully matches (N=1896)
Evaluation of quality of terrestrial digital TV broadcast, where 1 – very bad
quality, and 5 – very high quality (N=1896)
6.0% 6.2%
26.5%
22.4%
36.9%
2.0%
1 point 2 points 3 points 4 points 5 points Not sure
3.5% 4.3%
21.5% 18.9%
46.9%
4.9%
1 point 2 points 3 points 4 points 5 points Not sure
С6. How well social digital TV broadcast packages align with your preferences
С7. Evaluate the quality of terrestrial digital broadcast on a scale from 1 to 5
Access to digital TV through
receiver
73,8%
Access to digital TV through
built-in tuner
26,3%
Digital TV, have receivers and tuners to a Digital TV
broadcast access
2,1%
Access devices to a digital TV broadcast (N=1896)
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By regions
73.5% 73.9%
27.9% 25.5%
City, N=604 Village, N=1292
Receiver Built-in tuner Not sure
75%
74%
75%
74%
69%
75%
74%
75%
24%
25%
30%
27%
28%
31%
24%
24%
28%
3%
3%
1%
0%
1%
2%
4%
2%
2%
Bishkek city
Osh city
Chui oblast
Talas oblast
Issykul oblast
Batken oblast
Jalalabad oblast
Osh oblast
Naryn oblast
50
Access devices to a Digital TV broadcast
By settlement types
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34
How many TV channels are broadcasted on working TV-sets across regions and settlement types? (N=2101)*
33
Quantity of existing TV channels
7%
40%
26%
22%
5%
1-10 11-30 31-50 51-100 101 and more
*among population who own TV-set(s)
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34
How many TV channels are broadcasted on working TV-sets across regions and settlement types?
34
Quantity of existing TV channels
6.2%
18.6%
10.3% 8.9% 4.5% 7.7%
12.2%
34.8%
19.6%
32.1%
47.6%
57.0%
57.0%
51.5%
50.6%
26.8%
46.7%
21.8%
26.9%
28.9%
53.3%
41.7%
14.1%
15.0% 26.1% 43.5%
27.2%
25.3%
46.4%
21.0%
44.2%
12.2%
7.7% 9.1%
13.5%
12.0%
3.7%
30.6%
17.9%18.0%
11.1%
4.7% 4.3%
10.8%
101 and more
51 to 100
31 to 50
11 to 30
1 to 10
*Among population who own TV-set(s)
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35
Population who doesn’t have access to Digital TV, across regions
27.4%
10.7%
6.7%
1.2%
1.1%
2.3%
4.0%
2.3%
1.1%
Bishkek city (N=369)
Osh city (N=103)
Chui oblast (N=328)
Talas oblast(N=85)
Issykul oblast (N=172)
Batken oblast (N=172)
Jalalabad oblast ( N=409)
Osh oblast (N=432)
Naryn oblast (N=98)
Percentage of a population which doesn’t plan to buy any equipment to get access to
Digital TV in upcoming 6 months across regions
Population don’t have digital TV
12,5%
In 6 months plan to buy equipment to get access
to Digital TV
4,5%
8%
Do not plan 6 months to buy equipment to get
access to Digital TV
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Reason behind refusal to access terrestrial Digital TV
broadcast
1,1% Don’t have money to buy additional equipment
3,3% Use provider services
1,4% Don’t know why is it needed
0,1% Don’t know how to use equipment
2,1% Not sure
С4.1 why you don’t want to connect to terrestrial digital TV broadcast?, N=2168, % *
?
?
*Percentage from the whole population
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38
Distribution of active viewers across regions
65%80%
70%
72%
75%
67%
69%
64%
66%
Data interpretation: 65% among all
respondents in Bishkek city, watched TV a
day before the survey
Q3. Did you watch TV yesterday in your region? (regions/oblast where survey was conducted)
КR - 69,1 %
38. Subtitle About Your Company
76.5%
64.0%
79.0%
74.7%
66.5%
72.6%
65.6%
23.5%
36.0%
21.0%
25.3%
33.5%
27.4%
34.4%
No education (N=5)
Incomplete education (N=19)
Primary (N=13)
Incomplete secondary (N=191)
Secondary (N=1124)
Secondary special education (N=294)
Incomplete high education (N=63)
Gender
39
Active TV audience profile
Income level**
Age
Preferred language of preview
(N=1499)
74.3%
72.8%
72.6%
70.5%
65.9%
63.3%
73.1%
25.7%
27.2%
27.4%
29.5%
34.1%
36.7%
26.9%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Watched yesterday Didn't watch yesterday
Kyrgyz
54%
Russian
38%
Uzbek
7%
Other; 1%
65.5%
69.8%
71.3%
68.4%
34.5%
30.2%
28.7%
31.6%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
**average household income per capita, where low – below 2500 soms per
month, average – less than 10000 soms and high –more than 10000 soms
68% 70%
Among all surveyed men, 68% watch TV a day before survey, among all
women surveyed – 70%
69,1% of Kyrgyz Republic’s
population older than 14
years watched TV a day
before the survey (active TV
audience)
N=1050 N=1118
Education
39. Subtitle About Your Company
31%
61%
63%
71%
74%
75%
76%
40%
25%
65%
18%
37%
19%
24%
25%
20%
45%
74%
21%
10%
14%
0%
2%
1%
Chui oblast (N=322)
Osh oblast (N=421)
Issykul oblast (N=167)
Jalalabad oblast (N=398)
Talas oblast (N=85)
Naryn oblast (N=94)
Batken oblast (N=165)
Osh city (N=100)
Bishkek city (N=350)
Kyrgyz Russian Uzbek Other
Preferred language of preview across regions
40
Active TV audience profile
67.6%
70.0%
32.4%
30.0%
City (N=773)
Village (N=1394)
Watched yesterday
Didn't watch yesterday
Settlement type
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41
Favorite type of TV program
* Among those respondents who watched TV at least for 5 minutes for the past 6 months
Q7. Name your favorite type of TV program?
Q8. Which of the other types of TV programs besides named, do you prefer to watch on TV?
4.0%
4.2%
4.7%
6.0%
7.3%
9.2%
9.2%
10.1%
10.6%
17.0%
18.0%
18.9%
25.0%
40.9%
42.5%
62.3%
Not sure
Adivertisement
Religious
Soap operas (melodramas)
Humoristic shows
About political and social events
Educational/documentary
Programs for kids
Cartoons
Comedy serials
Drama serials
Talk show
Sport programs
Musical video
Art films
News
41. Subtitle About Your Company
42Practice of online TV channel views
Q2.2. Do you watch online TV through phones/tablets/computers?»
of population know that TV channels can be watched
through phone/tablet/computer
of population watch TV channels through
phone/tablet/computer
Watch online TV through phones/tablets/computers
(percentage of a population)
20,4%
65,2%29.1%
24.9%
17.6%
20.3%
16.4%
14.5%
21.5%
17.5%
18.8%
20.4%
Bishkek (N=369)
Osh city (N=103)
Chui oblast (N=328)
Talas oblast (N=85)
Issykul oblast (N=172)
Batken oblast (N=172)
Jalalabad oblast (N=409)
Osh oblast (N=432)
Naryn oblast (N=98)
Kyrgyzstan (N=2168)
*live and record views on internet
42. Subtitle About Your Company
Gender
43
Online TV audience profile
Age
5%
9%
14%
20%
22%
31%
30%
95%
91%
86%
80%
78%
69%
70%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Listened during last week
20% 21%
20%
16%
22%
31%
80.1%
84.5%
77.6%
69.1%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
Income level
25%
18%
75%
82%
City (N=773)
Village (N=1394)
Settlement type
Among all men surveyed, 20% watch online TV, among women
surveyed – 21%
* Among those who watch online TV
N=1050 N=1118
44. 45
TV media indicators
Active
Viewers
Audience
Average
daily
reach
(ADR)
Average
weekly
reach
(AWR)
Share Ratings
Viewers who watched TV
a day before for at least 5
minutes
Average amount of
viewers who watch TV
channel daily. (Viewers
who watched TV a day
before for at least 5
minutes).
Average amount of
viewers who watch TV
channel at least once a
week
Percentage of TV
viewers who watch
specific TV channel
/program at a specific
time interval or time of
a day, in percentage
from the overall
population
Percentage of TV
views for a specific TV
channel, at a specific
time of a day from the
overall time spent
watching TV
45. 15.2%
10.7%
9.8%
8.7% 8.6% 8.5%
7.3% 6.5% 5.8% 5.8% 5.5% 5.3% 5.3%
3.9% 3.7% 3.6% 3.3% 3.3% 2.6% 2.6% 2.2% 1.8% 1.8% 1.8% 1.6% 1.2% 1.1% 1.1% 1.1% 1.0%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
46TV channel Audience, TOP-30 according to ADR, КR, Bishkek
Source: Media Research 8th Wave, December 2017, TV Daily Reach%, N= 1499
Q19. Which TV channels did you watch yesterday?
О Р Т
Bishkek
6 12 1 7 2 19 26 8 4 17 5 - 11 - 25 9 3 18 22 21 13 10 20 16 - 29 14 - - 15
KR
46. KR
8.7%
7.0% 6.7%
5.4%
4.8% 4.6% 4.5% 4.2% 4.1%
3.4% 3.1% 3.0% 2.7% 2.7% 2.5% 2.1% 1.9% 1.6% 1.4% 1.4% 1.3% 1.3% 1.2% 1.1% 1.0% 0.9% 0.9% 0.8% 0.8% 0.6%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
47
Daily average percentage share of TV views, TOP-30 according to
SHARE, KR, Bishkek
Source: Media Research 8th Wave, December 2017, TV Share%, N= 1499
Q19. Which TV channels did you watch yesterday?
О Р Т
Bish
kek
7 1 4 16 3 17 6 5 10 29 2 20 - 12 15 21 27 - 8 9 11 - 23 - 26 25 - 24 22 13
49. 50
Positioning map. TV channels
Women Men
14 years
65+ years
Village City
In Kyrgyz language
On other language
Positioning map convenient visualization method for understanding target audience’s key
market elements. There are other possible variations of positioning maps (gender, age, region,
ethnicity and other)
The size of a ball demonstrates percentage of daily TV channel views
51. Subtitle About Your Company
52
Distribution of active listeners across regions
(weekly audience)
70%
66%
61%
58%
60% 56%
73% 50%
59%
Interpretation: 70% Bishkek city dwellers listened to
radio on a week before the survey
Overall, across Kyrgyz Republic, 61% of
respondents listened to radio a week before the
survey
КR – 61%
52. Subtitle About Your Company
Gender
53
Radio audience profile
61% of Kyrgyz
Republic’s
population, older
than 14 years
listened to radio
during the last week
before survey
Income level Possession of Automobile
Age
63% 59%
42.6%
57.6%
59.4%
64.9%
62.4%
65.2%
61.2%
57.4%
42.4%
40.6%
35.1%
37.6%
34.8%
38.8%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Listened during last week
Didn't listen during last week
59.2%
55.0%
65.2%
68.0%
40.8%
45.0%
34.8%
32.0%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
Among all men surveyed, during the last week before the survey, 63%
listened to radio, among surveyed women– 59%
N=1050 N=1118
55.0%
58.5%
58.5%
41.5%
Population (N=2167)
Radio listeners
(N=1322)
Don't own automobile own automobile
38.7%
40.9%
16.3%
17.6%
45.0%
41.5%
Population (N=2167)
Radio listeners (N=1322)
Left steering wheel
Right steering wheel
No automobile
Location of a steering wheel in
automobiles
53. Subtitle About Your Company
Preferred radio language (N=1650)
54
Practice of radio listening
30.5%
5.2%
4.8%
4.1%
8.7%
16.8%
29.7%
Haven't listened during last week
6 days in a week
5 days in a week
4 days in a week
3 days in a week
2 days in a week
1 day in a week
Frequency of radio listening (N=1650)
Kyrgyz
66%
Russian
28%
Uzbek
5%
Other
1%
0.2%
0.4%
0.9%
1%
2%
3%
7%
11%
29%
31%
31%
In bars, cafes, restaraunts (N=4)
In country house/garden (N=6)
Other (N=15)
During a walk (N=21)
In friend's house (N=27)
Through mobile phone everywhere (N=52)
At work (N=108)
in Taxi(N=183)
On my own automobile (N=472)
At home (N=509)
In public transport (N=519)
Places where radio is listened (N=1650)Types of devices used to listen to radio (N=1650)
Other include: computer, notebook, tablet
*among those respondents who listened to radio at least 5 minutes for the past 6months
82%
Radio received
(tape recorder)
17% Mobile
phone
3,5%
Other
Q19. where do you most often listen to radio?Q19.1. What device did you use to listen to radio?
Q18. In which language do you prefer listing to radio?Q17. how many days during the past week did you listen to radio?
54. Subtitle About Your Company
1.0%
1.0%
2.3%
2.5%
3.3%
3.7%
8.4%
31.4%
44.2%
Culture
Religious programs
Politics
Health
Sport
Weather
Talk show
News
Music
55
Preferences of radio listeners
Q20. What’s you favorite type of radio program?
Q21. what type of programs besides mentioned do you like to listen to?
Favorite type of radio program, N=1961
*multiple choice answer
0.1%
0.2%
0.3%
0.3%
2.2%
2.5%
2.6%
7.4%
12.8%
17.4%
20.3%
29.1%
Salsa/Merenga
Raggae
RnB
House/Techno
Jazz/Bluz
Rock
Chanson
Rap/Hip Hop
Classical
Retro
Pop
Traditional music (Folklore)
Favorite type of music, N=1961
Q22. What type of music do you listen on radio?
Q23. Which type of music do you also like to listen to?
56. 57
Media indicators for Radio
Average
weekly
reach
(AWR)
Share Ratings
Average amount of
listeners who listen
specific Radio station at
least once a week
Percentage of radio
station listening at a
specific time of a day
from the total radio
listening time.
Percentage of
listeners who listened
specific program/radio
station at a specific
time interval or time of
a day in percentage
from whole population.
57. 18.3%
13.2% 13.2%
7.7% 7.7% 7.3% 6.5% 6.1% 6.1% 5.4%
3.2% 2.8% 2.6% 2.5% 2.4% 2.0% 1.6% 1.4% 1.4% 1.4%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
58
Bishkek
Radio stations ratings, Top-20 according to AWR, КR, Bishkek
Source: Media Research 8th Wave, December 2017, Radio Weekly Reach%, N=1242
Q83. Which radio stations did you listen yesterday?
Q16. Which radio stations did you at least listen form 5 minutes for the past 7 days in your region?
3 1 6 8 10 21 2 4 16 11 7 14 5 - - 9 29 19 - 13
Азаттык
Новости
KR
58. 13.2% 12.9%
10.4%
8.6%
6.7% 6.3% 5.6% 5.5%
4.3% 4.1% 4.1%
2.4% 1.9% 1.9% 1.6%
0.7% 0.7% 0.6% 0.6% 0.6%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
59
Bishkek
Average daily share of radio stations, TOP-20 according to
SHARE, КR, Bishkek
Source: Media Research 8th Wave, December 2017, Radio Share%, N=576
Q83. Which radio stations did you listen yesterday?
5 1 14 - 2 - 13 4 3 6 11 16 - - - 8 9 - 10 12
Азаттык
Новости
KR
61. 62
Positioning map. Radio
Women
Men
14 years
65+ years
Village
City
In Kyrgyz language
On other languages
Positioning map convenient visualization method for understanding of target audience’s key
market elements. There are other possible variations of positioning maps (gender, age, region,
ethnicity and other)
The size of a ball demonstrates percentage of daily radio station audition
63. Subtitle About Your Company
64
Level of Internet penetration in Kyrgyz Republic is 59%
80%57%
59%
62%
51%
47%
64% 49%
53%
Dynamics of Internet penetration
39%
48% 53% 59%
2013 2015 2016 2017
60%38%
39%
46%
36%
32%
42% 36%
41%
2016
2017
64. Subtitle About Your Company
Gender
65
Internet audience profile
59% of Kyrgyz
Republic’s population
older than 14 years
use internet
Household income Settlement type
59,7% 59,0%
Interpretation: Among surveyed men 59,7% of respondents use
internet while among women 59,0%
Age
11%
23%
35%
55%
77%
85%
82%
89%
77%
65%
45%
23%
15%
18%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Use Don't use
67%
45%
60%
80%
33%
55%
40%
20%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
73%
52%
27%
48%
City (N=773)
Village (N=1394)
N=1050 N=1118
65. Subtitle About Your Company
66
Types of access sources to Internet
Mobile phone,
Smartphone*
Desktop computer/
laptop/tablet
(cable, telephone line)
Home computer
(USB modem)
At work At internet-cafe
2016 N=1130
2017 N=1287
* Among all surveyed who use Internet, mobile phone remains a primary source of access to Internet, percentage of use has risen in 2017 in comparison to 2016 by 5%.
*Multiple choice question
Q31. Where do you get access to an internet?
84%
89%
22%
20%
6%
5%
3%
3%
1%
0,3%
+5% -2% -1% -0,7%
66. Subtitle About Your Company
67
Types of access sources to Internet across settlement types
Village N=726
City N=560
94%
83%
12%
31%
2%
9%
2%
5% 1%
0%
Mobile phone,
Smartphone
Desktop computer/
laptop/tablet
(cable, telephone line)
Home computer
(USB modem)
At work At internet-cafe
67. Subtitle About Your Company
68
Used providers and mobile operators for an internet
access across regions
Bishek city (N=291) 47% 23% 12% 20% 1% 10% 7% 3% 1,6% 1%
Osh city (N=65) 23% 33% 45% 5% 9% 1% 1%
Chui oblast (N=192) 54% 29% 14% 8% 4% 1% 3% 1%
Talas oblast (N=49) 45% 42% 14% 7% 2%
Issykul oblast (N=91) 73% 20% 17% 10%
Batken oblast (N=87) 14% 13% 78%
Jalalabad oblast (N=251) 39% 11% 64% 1%
Osh oblast (N=204) 31% 18% 54% 1% 1%
Naryn oblast (N=47) 70% 19% 17% 2%
Mobile operators Internet - providers
68. Subtitle About Your Company
69
Practice of Internet use
1%
3%
4%
8%
9%
16%
29%
59%
1%
3%
3%
11%
7%
20%
26%
43%
Other
Websites for goods purchases/sales
Game based
Mail based
Scientific Educational
Entertainment Movie based
News based
Messengers
2016
2017
Categories of websites/applications most visited by
respondents (N=1287)
Frequency of internet usage among respondents
(N=1287)
1.4%
0.2%
14.2%
3.1%
81.1%
2-3 times a month
Once a month
2-3 times a week
Once a week
Everyday
Q37. How often do you use internet? Q34. What category of website/applications do you visit most often?
*multiple choice answer
69. Subtitle About Your Company
70
Frequency of Internet usage
Frequency of Internet usage (across whole population)
69%
56% 48% 45% 39% 32%
53%
36% 37%
61%
41%
8%
7%
8% 8% 13%
14%
7%
8% 7%
9%
8%
20%
36% 41% 43% 47% 50%
38%
53% 51%
27%
48%
Bishkek city Osh city Chui oblast Talas oblast Issykul
oblast
Batken
oblast
Jalalabad
oblast
Osh oblast Naryn oblast City Village
Everyday 2-3 times a week Once a week 2-3 times a month Once a month Once in a few months I don't use
Q37. How often do you use Internet?
70. Subtitle About Your Company
71
Internet browsers used for an internet access
4
2
3
1
82%
2%
5%
16%
Q36. Which browser do you use for an internet access?
*multiple choice answer
71. Subtitle About Your Company
72
Most visited websites/applications across categories among
internet users
Mail based N=101
70%
11%
22%
Social Networks N=999
76%
50%
29%
15%
Messengers N=753
96%
5%
3%
1,4%
19%
16%
12%
5%
News based N=374
* Based on responses, for example most of respondents use odnoklassniki for email and message exchange, they consider it as mail and messenger server. In order to find/read news
respondents mentioned servers that are not news based, however respondents consider them as news based, since they obtain news from those sources.
*multiple choice answer
4%
News.kg
73. Subtitle About Your Company
74
Audience profile who use social network (Kyrgyz
Republic)
46% нof Kyrgyz
Republic’s population
older than 14 year use
social networks
Household Income Settlement type
Gender
47,5% 44,7%
Age
5%
11%
25%
37%
61%
73%
72%
95%
89%
75%
63%
39%
27%
28%
65+
55-64
45-54
35-44
25-34
18-24
14-17
Use Don't use
51%
34%
48%
68%
49%
66%
52%
32%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
58%
39%
42%
61%
City (N=773)
Villave (N=1394)
Among all men surveyed, 47,5% use social networks, among
women indicator is 44,7%.
N=1050 N=1118
74. Subtitle About Your Company
60%
38%
39%
46%
36%
32%
42%
36%
41%
45% 80%
46% 42%
36%
48%
36%
42%
46%
2016
2017
Percentage of social network users has
increased in all regions except for
Batken oblast
75
Social Networks users in Kyrgyz Republic (46%)
Q38. Do you use social networks
75. Subtitle About Your Company
Purpose of using social networks
(N=999)
76
Social networks usage practice
4%
12%
28%
27%
29%
9%
17%
17%
22%
34%
5 hours and more
2-5 hours
Less than half an hour
From half an hour up to an
hour
1-2 hours
2016 2017
Time spent on social networks per day (N=999)
2%
2%
9%
11%
22%
25%
41%
70%
1%
1%
9%
13%
19%
24%
34%
83%
For purchases
Selling things, cars, properties
For work
Entertainment/games
To watch videos/movies
Education/Information search
NewsFeed
Communication
2016 2017
*Multiple choice question
Q40. how many days do you spend on social network websites in one visit? Q39. What is the purpose you visit social networks?
Among social network users
76. Subtitle About Your Company
Frequency of use of social networks (N=2167)
77
Used social networks among internet users
Use of social networks (N=1267)
1%
2%
3%
5%
7%
12%
13%
35%
1%
1%
2%
7%
6%
13%
23%
35%
2017 2016 4.2%
3.3%
8.6%
17.8%
23.7%
3.4%
3.5%
7.6% 2.8%
98%
97%
95%
91%
88%
80%
78%
41%
Everyday Every week Every month From time to time I don't use
*Multiple choice question
Q42. Which of the following social network do you currently use? Q43. How often do you use social networks?
Percentage share among internet users Percentage share among population
78. Subtitle About Your Company
79
Printed Media Audience profile
47% of Kyrgyz Republic’s Population
above 14 years read printed media
Income level Settlement type
Age
Gender
40% 54%
54% 50%
47%
2015 2016 2017
Printed media penetration
dynamics
37.4%
51.2%
52,2%
41.1%
62.6%
48.8%
47.8%
58.9%
Not sure (N=587)
Low (N=594)
Average (N=835)
High (N=151)
56.5%
53.9%
51.9%
55.1%
43.3%
38.0%
39.0%
43.5%
46.1%
48.1%
44.9%
56.7%
62.0%
61.0%
65 and older (N=141)
55-64 (N=223)
45-54 (N=311)
35-44 (N=367)
25-34 (N=548)
18-24 (N=374)
14-17 (N=205)
Read Don't read
43.0%
49.4%
57.0%
50.6%
City (N=773)
Village (N=1394)
Among all surveyed men, 40% read printed media,
among women - 54%.
N=1050 N=1118
79. Subtitle About Your Company
80
41%69%
45%
45%
46%
44%
47% 63%
60%
57%
54%
76%
40%
36%
44%
63%
52%
47%
2016
2017
Level of use of Printed Media in Kyrgyz Republic is 47%
47%
50%
Kyrgyz
Republic
Overall in Kyrgyz Republic percentage share of
respondents who read printed media has
decreased. However, there is a positive
dynamics across regions.
80. Subtitle About Your Company
Reading languages (N=1022)
81
Printed Media – Population preferences
In which form do respondents prefer to read printed media(N=2168)
74%
24%
2%
Kyrgyz Russian Uzbek
45%
6%
49%
42%
7%
53%
Paper version Read internet version Don't read
2016
2017
Q29 On which language do you regularly read newspapersQ25. Which newspapers do you read?
Percentage share of people who read papered version of
newspapers has decreased in comparison to 2016, while online-
newspapers became more popular
Among readers
81. Subtitle About Your Company
Gender
82
Age (N=154)
Income level(N=154)
5.8%
8.4%
14.3%
36.8%
24.6%
10.0%
55-64 (N=9)
45-54 (N=13)
35-44 (N=22)
25-34 (N=57)
18-24 (N=38)
14-17 (N=15)
21.2%
18.8%
46.1%
13.9%
Not sure (N=33)
Low (N=29)
Average (N=71)
High (N=21)
Interpretation: Among those respondents who read internet versions of printed
media is 37%, in age range between 25-34 years
* Among those respondents who read internet versions of printed media
Profile of respondents who read electronic versions of
printed media
6,9% 7,3%
Among surveyed men, 6,9% read electronic versions of newspapers,
while among women - 7,3%.
N=1050 N=1118
82. Subtitle About Your Company
83
Audience size of the most read printed media
(TOP-12)
Q26. Which newspapers do you read? (N=2167)
29%
5%
2% 2% 2% 2% 1% 1% 1% 1% 1% 1%
Дарыгер
ДенСоолук
Тамчы
Data interpretation: 29% of Kyrgyz Republic’s population read Super Info
83. Subtitle About Your Company
Media Research/
International support. Media audit
84. Subtitle About Your Company
85
Methodology and estimation of medial indicators for the “Media Research” Project was approved by
Helen Harrison
Also, in 2013 media audit 3rd wave was conducted with the help of Helen Harrisons & Company, (Winter
2012)
Helen Harrisons & Company had conducted media projects audit for many of the leading consulting
companies.
Support from International Experts
STRATEGIC MEDIA CONSULTANT
Graeme Moreland Media,
Abu Dhabi & UK
Media Research: 1st wave (winter 2011), 2nd wave (summer 2012) and 3rd wave (winter
2012) were conducted with the help of international expert, Graeme Moreland
Graeme Moreland participated in methodology development and its approval on the following
project stages: methodology and questionnaire development, data control and analysis,
estimation of indicators
85. Subtitle About Your Company
Поддержка международных экспертов
86
Acquisition of Results
In order to obtain deployed media research results, please refer to
М-Vector company:
www.m-vector.com
Contact details:
Veronika Bezumova
Marketing Manager
Phone: +996 (312) 97 92 93 (вн. 1005),
Mobile: +996 (702) 762 205
E-mail: veronika.bezumova@m-vector.com
Kyrgyz Republic, 720011 Bishkek,
Isa Akhunbaev Str. 42а, 2nd floor
Phone: +996 (312) 97 92 93 (94)
E-mail: office@m-vector.com
mvectorcentralasiam_vector_ @MVector M-Vector@mvector
86. Subtitle About Your Company
До
Kyrgyz Republic, 720011 Bishkek,
Isa Akhunbaev Str. 42а, 2-ой этаж
Phone: +996 (312) 97–92–93
+996 (312) 97–92–94 +996 555–770–980
E-mail: office@m-vector.com
www.m-vector.com
We turn information into opportunities
Editor's Notes
Актуальные данный 2017 год
Посмотреть по Цифре
Посмотреть по Цифре
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)
При создании графиков рекомендую использовать более спокойные оттенки (например: синий, голубой)