Country : Indonesia Project Id : P106384
Project Name : Strengthening Indonesian Statistics Loan Info : IBRD 80380, TF 93092, TF 98283
General Information
Notice Type Request for Expression of Interest (REOI)
Borrower Bid Reference B-178/BPS/2140/04/2016
Bid Description
Consulting services for the design and development of Integrated Statistical Information System for BPS – Statistics Indonesia (Approximately 2 years assignment)
Language of Notice English
Deadline for Expression of Interest May 4th 2016 at 4 pm
Local Time Jakarta Time / Western Indonesian Time
Selected category codes for product to
Organization / Department BPS - Statistics Indonesia
Name Mr. Imam Machdi
Title Head of Procurement Committee - Package 2B
THE REPUBLIC OF INDONESIA
STATISTICAL CAPACITY BUILDING – CHANGE AND REFORM FOR THE DEVELOPMENT OF STATISTICS PROJECT ID NO. P106384 / PROJECT LOAN NO. IBRD 80380, TF 93092, TF 98283
Consulting services for the design and implementation of Integrated Statistical Information System (Reference # B-178/BPS/2140/04/2016)
REQUEST FOR EXPRESSION OF INTEREST (REOI)
The national statistics office of Indonesia, Badan Pusat Statistik (BPS), is the central government agency pri arily respo si le for the produ tio of I do esia’s official statistics. These statistics include social, agriculture, national accounts, price indexes and economic conditions of the country. These data are used by government policy makers, global capital markets, foreign investors, businesses and the public in making decisions that directly impact the economy of Indonesia and the welfare of its people.
BPS is on its journey to modernize its operations to move towards an integrated statistics production system in line with international leading practices. To this end, BPS seeks consulting services from large and mid-sized o sulti g fir s Co sulta ts for the desig a d i ple e tatio of a I tegrated “tatisti al I for atio “yste "“yste " to support a d a age the timely production of high quality integrated statistics. Please refer Annex-A for System abstract details.
The assignment period is approximately 2 years.
BPS is headquartered in Jakarta and has over 500 regional offices around the country, with a total workforce of almost 16,000 employees.
The objectives of the STATCAP-CERDAS includes:
1. Improving statistical quality as well as improving user satisfaction and confidence in BPS products and services.
2. Increasing the efficiency of statistics operations through the application of information and communication technology.
The consulting services sought under this REOI (hereinafter as, ser i es i lude:
1. To design, build and implement a System that help BPS to support their business processes such as data collection, processing, analysis and dissemination.
2. To configure, customize, build and integrate
Core services to enable data collection, data processing, data analysis and data dissemination and
Common services such as metadata, sampling frames, survey management, geospatial data, content management, data ingestion, working databases and data warehouses.
BPS invites eligible consultants to express interest to provide the requested services. Interested consultants must provide information to prove their qualifications to perform the services.
Expressions of interest must contain:
1. Information about the Consultants.
2. Experience of Consultants in similar assignments in the last 5 years, to be described in the template provided in Annex-B of this document.
Consultants experience in the design and implementation of similar areas will also be considered for this assignment, such as:
1. Enterprise Applications including Transaction Processing System, Decision Support System (Business Intelligence, Data Warehouse / Data Mining, Big Data).
2. Enterprise Products and / or COTS Applications.
3. Enterprise Application Integration.
BPS envisions the primary expertise required for this assignment is Systems Integration. Consultants may associate with other organizations, such as Statistics Institutions and/or vendors of Middleware, Data Warehouse and Statistical Applications to enhance their qualifications.
Consultants will be selected in accordance with the procedures set out in the World Ba k’s Guideli es: “ele tio a d E ploy e t of Co sulta ts y World Ba k Borro ers dated May 2004, Re ised Oct 1st 2006 & May 1st 2010 Co sulta t Guideli es , setti g forth the World Ba k’s poli y o o fli t of interest.
Expressions of interest should be received by BPS no later than May 4th 2016 at 4 pm Jakarta Time.
Consultants who had expressed their interests in response to the original REOI published in UNDB on Feb 5th 2016 are not required to submit the expression of interest again. But, consultants may choose to do so to provide additional information and / or to update their qualifications information. All
Sub Direktorat Pengembangan Basis Data, Building 1, 2nd Floor, Jl. Dr. Sutomo No 6-8, Jakarta - 10710, Indonesia.
Phone: +62-21-384 8741
Email: procurement2statcap@bps.go.id
BPS drop box URL:https://box-statcapcerdas.bps.go.id/
Annex
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A: Abstract on Integrated Statistical Information System
The objective of Consultants' is to design, build (configure, customize and develop) and implement an efficient Integrated Statistical Information System to address the gro i g users’ de a ds. This system supports the core business processes of BPS and ensures homogenization of data and integration of statistical processes through different surveys and census.
This system consists of applications to support an integrated value chain, which includes the collection, processing, analysis and dissemination of data. This system also need common services such as metadata, sampling frames, survey management, geospatial data, content management, and data ingestion, working databases and data warehouses.
In general terms, the survey information life cycle can be classified into logical grouping as:
# Grouping Phases
1 Survey Preparation
In broader terms, the survey designers make decisions such as objective of the survey, users need, design concepts, users and data providers who will participate in the survey, methodology, assess survey inputs and dissemination outputs and build procedures for the transformation.
1.
Specify Needs: In this phase, need for new survey and or census is identified, or feedback about current statistics is initiated. This includes activities associated with engaging users and data providers to identify statistical needs, proposing high level solution options and preparing business cases to meet these needs.2.
Design: This phase describes the development and design activities, and any associated practical research work needed to define the statistical outputs, concepts, methodologies, collection instruments and operational processes.3.
Build: This phase builds and tests the production solution to the point where it is ready for use in the "Live or Production" environment. The outputs of the "Design" phase direct the selection of reusable processes, instruments, information, and services that are assembled and configured in this phase to create the complete operational environment to run the process.2 Survey Operation
In broader terms, the objective is to transform the elementary data, collected from different channels such as CAPI (Computer-assisted personal interviewing), CATI (Computer-(Computer-assisted telephones interviewing), CAWI (Computer Aided Web Interviewing), PAPI (Paper-assisted personal interviewing) into valid and valuable information, store in database for processing, analysis and dissemination.
The results of the survey should be made available in a user-acceptable form via appropriate distribution channels. In principle, a survey production cycle is complete once the survey results are disseminated.
4.
Collect: This phase collects or gathers all necessary information, using different collection channels from field and includes extractions from statistical and administrative sources, databases and internet sources and store into appropriate environment for further processing.5.
Process: This phase describes data cleansing and preparation for analysis. This phase has sub-processes such as check, cleanse, and transform data so that the data can be analyzed and disseminated in the form of statistical output.7.
Disseminate: This phase manages the release of the statistical products to users. It includes all activities associated with assembling and releasing a range of static and dynamic products via common channels such as media, maps, desktop, web, mobile and multimedia. These activities support users to access outputs released by the statistical organization.3 Survey Evaluation
In broader terms, the inputs are gathered throughout the different phases to evaluate the statistical business process, identifying and prioritizing potential improvements.
8.
Evaluate: This phase manages the evaluation of statistical business processes and products. This phase, logically takes place at the end, but relies on inputs gathered and improvement areas for the continuous improvement.In broader terms, the functional description of core systems and common services - applications and or systems are as outlined below:
Collection System:
The objective of this system is to facilitate the development of electronic and paper questionnaires design standards and procedures (reuse of standard questions, general instructions and layouts appropriate for data collection). This system is used to collect data from heterogeneous channels such as paper, form-based applications (CATI, CAWI, CAPI) different format files provided by third-party administrative sources and internet sources. This system also facilitates in selecting samples from the sampling frames.
Processing System:
The objective of this system is to process data cleansing and prepare data for analysis. These systems check, cleanse, validate and transform input data, so that they can be analyzed and disseminated as statistical outputs. The system should facilitate classification, editing and imputation, derivation, weighting, estimation and aggregation.
Analysis System:
Dissemination System:
The objective of this system is to manage and release the statistical products such as tabulation, publications, GIS. The system manages activities associated with assorting and releasing a range of static and dynamic products via a range of channels such as media, maps, kiosk, desktop, web, mobile, multimedia and APIs.
Data Ingestion / ETL System:
The objective of this system is used for extract data from channels such as field, administrative authority or from internet sources and load the data onto databases. The system should have the flexibility to deal with different data formats, support configuration of business rules for cleansing, filtering, splitting joining, transposing and transforming data.
Metadata System:
The objective of this system is to store and manage the life-cycle of variables, activities, references or classifications. This system is the backbone and enables the integration of the different views of statistical data during the information life cycle by facilitating searching, querying, and reporting, sharing and accessing through all statistical phases and processes.
Survey Management System:
The objective of this system is to support the planning, monitoring and control of surveys throughout all phases of the statistical process; support quality checkpoints to streamline efficient and optimized scope, schedule, allocation, budget and resources. This system will collect and store operational data for later use and support the provision of progress reports. This system also manages survey logistics, coordinate data providers, enumerators and / or survey field force, allow data quality checks, link training materials, knowledge and information required to perform survey.
Frame and Register Systems:
The objective of this system is to manage the sampling frames and registers such as administrative areas, census block master frame, household master frame and statistical business register. These system have the capability to store, retrieve and interface with other systems.
Geospatial System:
Content Management System:
The objective of this system is used to store, share, manage and track electronic content across all phases and activities.
Working Database:
This is a staging database and the objective is to store the data collected and or received in form of data sets, allow operations requiring manipulation before it is transferred to the Input Data Warehouse; facilitates operations such as data validation, editing and imputation tasks, complex set transformations and may be of a highly interactive or ad-hoc nature.
Input Data Warehouse:
The objective is to facilitate the subsequent statistical analysis and integration of information by providing multidimensional variables sharing common dimensions and / or integrated with older data of the same survey or even data from different surveys; facilitates operations such as weighting, aggregation, micro and macro-editing of data. The data from Input Data Warehouse will be transferred to Output Data Warehouse.
Output Data Warehouse:
The objective is to facilitate the subsequent statistical analysis and integration of information by providing multidimensional variables sharing common dimensions and / or integrated with older data of the same survey or even data from different surveys. This data warehouse uses disclosure control process to protect the confidentially of the data before transferred to Dissemination Data Warehouse.
Dissemination Data Warehouse:
Annex
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B
Co sulta t’s releva t experie ce for this assig
e t
Assignment name: Value of the contract (in the contract currency):
Client name:
Duration of assignment (months):
Country services were performed in: Name and form of associated consultancies, if any:
Start date (month / year): Completion date (month / year):
Description of project and services provided to client:
