| |
| |
|
|
| |
|
From Fragmented Data to Decision Intelligence: Building Visibility
That Drives Performance
|
|
|
|
August’s edition explores how organizations are turning fragmented
information into connected, decision-ready intelligence across
marketing, private markets, manufacturing, and investment
operations.
|
|
|
|
From creating a trusted measurement layer for cross-channel
marketing and strengthening portfolio intelligence in private
markets to automating inventory management and accelerating LP
reporting, this month’s stories highlight how better data
foundations can improve visibility, accuracy, and execution. We also
feature perspectives on the next generation of digital twins,
building meaningful careers for India’s youth, and our continued
collaboration with Intapp.
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
Marketing teams often work across multiple platforms, each using
different definitions, attribution models, and reporting logic. The
result is significant time spent reconciling numbers before teams
can determine what is actually driving performance.
This article examines why dashboards alone cannot solve the
attribution problem and how a governed marketing intelligence layer
can standardize definitions, connect campaign activity to business
outcomes, identify attribution gaps, and help teams make more
defensible budget decisions.
|
|
Private markets generate large volumes of portfolio, financial,
operational, and reporting data, yet that information often remains
fragmented across spreadsheets, documents, systems, and teams.
This article looks at how a more connected portfolio intelligence
framework can help investment managers consolidate critical
information, strengthen portfolio monitoring, improve visibility
into performance and risk, and turn recurring data collection into
more timely, decision-ready intelligence.
|
|
| |
|
|
| |
| |
|
|
| |
|
|
| |
|
|
| |
|
A leading tyre manufacturer needed to improve inventory processing
across multiple factory locations where Excel-based workflows,
manual consolidation, and rigid business rules were slowing
reporting and increasing operational risk.
Decimal Point Analytics developed an automated inventory management
framework combining multi-file processing, configurable business
rules, automated validation, and centralized Power BI reporting. The
solution delivered 60% faster inventory processing, eliminated
manual processing errors, and provided more timely visibility for
factory-level decision-making.
|
|
A global private equity fund needed to modernize an Excel-driven LP
reporting process that had become increasingly difficult to scale
across multiple fund families.
By introducing standardized data controls, automation,
reconciliation workflows, and a centralized reporting environment,
the operating model significantly improved both speed and accuracy.
Reporting turnaround moved from T+90 to T+4, reporting errors were
reduced by 60%, and 100% of funds were onboarded onto the
centralized system.
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
In an article for BISInfotech, Shailesh Dhuri, CEO of Decimal Point
Analytics, examines how digital twins can move beyond visualization
to become more disciplined forecasting systems.
He highlights the importance of combining machine intelligence with
statistical scoring and human judgment, creating digital twins that
continuously test predictions, learn from errors, and support more
reliable operational decision-making.
|
|
In a feature for BW People, Arun Pratap Singh, Chief People Officer
at Decimal Point Analytics, discusses why India’s employment
conversation needs to extend beyond whether young professionals can
find jobs.
He emphasizes the importance of creating meaningful career pathways,
visible opportunities for progression, and structured skill
development that enable young professionals to build sustainable,
long-term careers.
|
|
| |
|
|
| |
|
|
| |
|
|
|
|
|
The event provided an opportunity to deepen our strategic
relationship with Intapp and exchange perspectives on connected
intelligence, AI-enabled workflows, and how platforms such as Intapp
DealCloud can help firms bring relationship intelligence and
execution closer together.
|
|
|
|
|
|
| |
|
|
| |
|
|
| |
|
|
|
Privacy Disclaimer
|
|
|
|
We receive and store information about you collected from our
third-party data providers using publicly accessible information. We
use the information to provide, analyse, administer, enhance and
personalize our services & marketing efforts to communicate with
you concerning our services and products. For more details regarding
our privacy guidelines, please read the privacy policy
and terms-of-use
on our website. In case you don't want us to contact you regarding
our services and products catalog, please email at marketing@decimalpointanalytics.com
to unsubscribe.
|
|
|
|
www.decimalpointanalytics.com
|
|
|
|
|
