Implementing a befitting data strategy can help organizations leverage data insights, which can help
improve the operational efficiency of businesses.
At EveDa, our customized framework model-based systematic approach helps us identify such befitting data
framework for each of the customer segment and enable our customers with robust systems for improving
operational efficiency.
As Team EveDa, we understand and believe in how Data can benefit every function, department, and
team in
the enterprise in making informed decisions.
The data strategy frameworks designed by our team help the enterprises create a sustainable approach
towards attaining their business mission.
For example, in HR, data can be used to develop strategies for employee retention; in Finance, for
predicting digital currency volatility and building strategies to take advantage of the dynamic
economic
conditions.
With Cloud Computing becoming a norm, enterprises are pushed constantly to scale their technology
ecosystem to accommodate more and more data.
Whether it is scaling the resources internally or partnering with firms that can offer the scalability,
the decision is more of when than whether.
Team EveDa does all the required analysis for you and benchmarks it against the industry best practices
to provide insights on what will be the most ideal long-term solution for you.
Data is only useful if it is constructive and yields tangible insights.
Any insufficient or unhealthy data can result in business and reputation
loss.
A rigorous and thorough health check process should be put in place for
checking data accuracy,
relevance, retrieval, and consumption.
EveDa has a systematic practice devised, which can assist the clientele in
assessing the data quality,
and persistent threats for data security, assessing veracity and accuracy of data being generated in
their information systems.
Though EveDa has systematic frameworks, our objective is to customize the
solution to every client
business and craft unique solutions for their business processes.
Enterprises are looking for ideas of how starting with small, yet strategic projects can benefit
monetarily leading enterprise scale advantage. A good data monetization strategy is built basis the
reality that with quality of data and resultant outcomes, value can either appreciate or depreciate. The
role of data in the enterprise needs to be communicated to all the teams involved to drive growth and
appropriate organization structures need to be established to cater to the monetization strategy.
Our framework recognizes the dynamism of the data and helps the enterprise to respond efficiently to the
changing nature of data qualitatively and quantitatively.
Data Documentation is an evolving process, facilitating relevant data collection for reusable and
reproducible information that facilitates knowledge retention between teams internally and with the
clients.
We at EveDa bring a structured approach and planning around Data dictionaries, Codebooks, Metadata, and
other related aspects to make the documentation a real asset to our clients.
As the industries evolve, the need to manage the heaves of data is critical
than ever before with data
breaches increasing.
Globally, many businesses are yet to leverage internal and socially available
data for improving the
business process' functioning.
It is paramount for organizations to focus on how different data parameters
and indicators signify the
performance of the entities.
From EveDa, we offer our clientele, tailor-made solutions to safeguard
business-sensitive data.
Collating and Correlating data from distinct sources can offer unparallel
insights into the industry
and business trends.
At EveDa, our practice of collating information from multiple sources like
supply chain, macro and
micro factors impacting the business/sector, consumer behavior patterns for the segment, etc. has
resulted in potential benefits for our customers.
We can help with the best practices across industries and geographies in
tailoring a strategy that
suits your business best and creating contemporary data intelligence systems.