Enabling Data Exploration To Gain Insights

Data migration and can be a risky proposition to undertake, but is most definitely a critical part of any program that involves change. The need to migrate data happens all the time, whether due to storage upgrades, vendor changes or storage transformation projects, so its imperative enterprise level entities are sure about their chosen solutions provider. Our vast experience has shown that a smooth migration is an important part to the success of any project, usually requiring collaboration among different stakeholders.

No matter the data format (file, block, object, cloud, etc.) or the location of it, our data migration professionals can help with getting your organization’s data where it needs to go. Our experts use proven methodologies that include industry specific best practices and adhere to legal requirements and data privacy standards. Data migrations performed by our professionals are executed quickly and seamlessly, always prioritizing security and certainly at the top of the requirements list, as well as ensuring non-disruption and flexibility as a core part of the process.

Germane Analytics can take care of the entire migration process from strategy, development, documentation and automation.

To realize the true value of the data, the data must be of high-quality – complete, correct, and current. Ensuring high-quality is a complex task as the data can exist in several formats, and more often than not, compiled from distinct sources.

With our Data Enrichment Services we help you in consolidating and interlinking various data sources, normalizing data in a homogeneous format, standardizing and appending the information, adding fields to complement records, data aggregation, cleansing, and organization.

We may also recommend additional sources and new data to get extra insights, make your decisions more informed and predictions more accurate. We also actually make this external data an integral part of your existing data sets.

Utilizing information from various sources is crucial for making informed business decisions. Data extraction services are exceedingly useful for retrieving data for further processing or storage from a range of different mediums. However, the process for data extraction is very time consuming and can result in a large amount of errors if not completed effectively.

Regardless of whether your data is structured or not, we can retrieve it from multiple sources, load it into a data warehouse or a data lake and transform it according to your needs. We can set up automated web data extraction procedures to get valuable insights from comments and posts in social networks, real estate listings, competitor prices, etc.

Data Architecture has grown far more sophisticated than its hub-and-spoke roots. Having a right Data Architecture is quite important to gain better understanding of the data and having right governance structure, security framework, ease of data exchange are all the critical aspects one need to consider.

We can audit your as-is architecture to check whether it complies well with data management procedures and trends and render value adding advices where needed. We can also run a comprehensive health check of your data warehouse / data lake, its security and performance.

We will be more than glad to assist you in implement a right data warehouse / data lake solution from scratch.

Metadata management and Master Data Management (MDM) are parts of an overall enterprise information management (EIM) strategy that help understand an organization causes and principles of their business objectives and their desired final outcomes.

We assist organisations create a clear strategy for enterprise-wide master and metadata management. We assess all external and internal data sources as well as relevant existing technologies to come up with standards and metrics to define and track master and metadata quality.

Organizations use data strategically to run their business. There can be vast amounts of data in any firm. Organization of this data into various subject areas where relationships within the data are well defined is critical in support of business analytics. A proper data model is part of the foundation for a sustainable analytical framework.

Our Data Modeling services provide organizations with customized, business-specific solutions and create effective data models that meet their current and evolving needs. Our experts employ both tool-based and manual methodologies to customize existing models or build new ones, for enhanced business performance and to support Descriptive, Predictive and Prescriptive Analytics.

Our data governance services assist organizations in capturing well their business objectives, analyze current compliance levels, and minimize the risk of poor data quality while following data protection procedures in order to help organizations achieve data governance goals.

We design data governance strategies and create policies describing user roles, rights and responsibilities as well as data-related standards and metrics. Such strategies aim to provide a transparent enterprise-wide approach to capturing, storing, processing and accessing data.

Our aim is to ensure that the data is proactively and efficiently managed throughout the organization in a standardized format and can be accessed and used when needed.

Our Data Security services help organizations in managing and protecting their data throughout the data lifecycle — data creation, data at rest, data in motion, data in use, and data destruction. We assist in creating a roadmap to achieve maximum protection against data breaches.

As part of our Data Security services, we analyze business specifics and apply best practices to review the current approach to enterprise information management. We evaluate the capacity and reliability of the existing architecture and technology stack as well as suggest ways to improve the security of the solution.