Data Management Services
Data Management Philippines
When collecting data, companies go through the problem of understanding and transforming this information into usable strategies and insights. Only through an efficient data management process can they achieve reliable reporting based on high-quality data. This is where Third Pillar comes in.
In partnership with Synity, we assist companies in performing this vital process with services ranging from consulting to full implementation.
Data Management Company
Our data expertise, complemented with intelligent software and packaged solution accelerators, allows us to solve large and complex enterprise data transformation challenges.
Through automation and AI and machine learning technologies, our software is capable of data migration, data quality, analytics, master data management, metadata management, and information governance initiatives. In the hands of Third Pillar, we build synergy between data and business to advance enterprise knowledge, unlock new opportunities, streamline processes, and stimulate business transformation and growth.
Working with us saves you the following problems commonly found in ineffective data management:
Compared to manual data assessment and cleansing, we save you costs and man-hours by automating the data quality assurance process and establishing rules that improve data collection efficiency.
When relevant data are locked away to different owners, you’ll fail to capture the whole picture and miss out on great insights. We take care of this by integrating all the different data sources in your enterprise. We’ll assess and quality check data against standards and procedures to avoid scattered information. This way, you can carry out initiatives including an enterprise-wide loyalty program, automated vendor assessment, and a 360-degree customer view.
Without the proper tools and systems, different areas and departments may use varying data sets or data versions. This disqualifies you from being able to reliably report on data and make informed business decisions. We deal with this by consolidating all the data into a single centralized solution and source. In addition, we perform data quality assurance to merge your duplicated data and update old data versions.
Proper data management makes the collection and analysis of data into usable insights more efficient. If this does not happen for you, the architecture level may be at fault. A certain part of the ETL process may be slowing it down or you may inadvertently create too many duplicated data. This slows down the processing to a crawl and puts a huge load on your CPUs. We fix this by assessing your data architecture to ensure it runs smoothly.
Separate companies have different data sets and sources. If they merge or are acquired by another company, it poses a challenge to how they’ll integrate the various data. To address this, they must establish a clear and efficient data action plan. What we would do is analyze the existing solutions of the involved companies, along with their available data. Then we prepare data governance and strategies in line with your needs. We perform the cleaning processes and standardize the data sets to remove duplicated or old data. We perform this process while maintaining data quality and data security to ensure no vital information is lost and the solution works properly.
Third Pillar’s offerings turn raw data into usable insights and strategies for informed business decisions.
To properly make use of data, we give you efficient and clear data governance strategies and policies in gathering, storing, processing, analyzing, and accessing data. This enterprise-wide approach will inform you of user roles, rights, and responsibilities, along with data-related standards and metrics.
Our teams thoroughly analyze your data by completing over 150 data quality checks from related sub-modules. We filter through the raw data and give insights including data relevancy, gap analysis, business data readiness, and target readiness. In addition, we offer our advice and recommendations on what should be your next steps in data remediation.
Low-quality data is unusable and may impede your business. They take many forms from duplicated, incomplete, erroneous, or obsolete data. Syniti’s tools proactively identify and resolve data quality issues in a user-friendly and cost-efficient way. With our systems, your data can certainly transform into effective strategies for your company.
Effective data management solutions complement their new tools, processes, and quality data with proven strategies that will fulfill your organization’s needs. With the support of Syniti’s career data professionals, you can prepare a roadmap that guarantees a return on investment; clean, business-ready data; and alignment with industry standards and regulations such as GDPR and HIPAA.
Master and Metadata Management
We ensure data quality and cleanliness by developing a plan for enterprise-wide master and metadata management. Thoroughly reviewing internal and external data sources and existing technologies, we establish standards and metrics to monitor and assess your master and metadata.
Cluttered data lead to reports that give poor and incomplete information. To get a better picture from your data, you must unite and integrate the varying data sources into each other. We do this by creating relevant BI or big data architecture or a data warehouse or data lake design. While we arrange them into usable insights, your reporting becomes more comprehensive.
To ensure the safety and security of data, we assess and determine which data are sensitive and critical. Afterward, we create a data migration plan. We automate the process to expedite the time and mitigate errors. Then we perform a final check to ensure that no data was lost. Our end-to-end management of large and complex data migration projects improved efficiency and reduced costs and risks, resulting in more than 30%–40% savings.
No matter how unorganized your data is, we can still process and analyze it according to your needs. We do this by loading it into a data warehouse or data lake if it’s taken from various sources. Then we deploy an automated data extraction process to acquire valuable insights no matter the origin.
Relevant and usable data can come from surprising and unlikely sources. We recommend additional and new data sources so you can obtain better insights, make informed decisions, and more accurately forecast outcomes. These supplementary data can support or even be vital to your existing data sets.
Data is vital to efficiently running a business. Make sure they don’t get into the wrong hands. Allow us to evaluate your business specifics and implement best practices on your current approach to enterprise information management. By assessing the capacity and reliability of your architecture and technology stack, we can recommend ways to tighten your security.
Data Architecture Audit and Implementation
If you have an existing data architecture, we can perform a quality check to ensure it aligns with data management standards and procedures. We complete an in-depth health check of your data warehouse, including its performance and security. In line with this, we are also equipped in deploying BI or big data solutions from the ground up.
In ensuring you get reliable and valuable data, Third Pillar partnered with a trusted leader in data governance, Syniti.