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RESEARCH, ANALYSIS & TRENDS



       (BFSI), reported to have collectively led the alternative   about  investments,  innovation,  M&A  and  partnerships
       data market in 2021 with a revenue share of more than   with early-stage and private placement companies.”
       15.0%  during  the  period,  there  are  other  alternative
       data early adopters.                                The  benefits  of  employing  alternative  data  are  seem-
                                                           ingly  innumerable.  “Among  the  most  important  is  its
       A  few  notables  making  great  strides  in  the  space  in-  ability  to  derive  proprietary  real-time  signals  providing
       clude  online retailers,  SaaS purveyors and  hospitality.   alternative  viewpoints,  unforeseen  insights  or  perhaps
       These and other such industries are tapping the power   both,” notes Valentine. “The ability to go beyond stand-
       of this alt intel for an array of projection activities, with   ard financial data to understand company performance,
       predictive and algorithmic modeling, demand and trend   market dynamics or consumer behavior is extraordinar-
       forecasting,  lead  generation  and  competitive  intelli-  ily valuable for companies and investors who desire to
       gence among them.                                   plan  and  execute  in  a  calculated,  enlightened  and  in-
                                                           tentional way with mitigated risk.”
       “There  are  numerous  categories  of  alternative  data,
       and  the  businesses  who  fare  best  are  those  with  the   Even amid the extreme upside, a number of challenges
       capability to mine insights from the collected data and   plague processes for incorporating alternative data into
       cross reference and combine it with other types of data,   the  investment  and  risk  models.  “As  compared  to  the
       thus enabling investors to identify profitable trends and   traditional financial data collection, alternative data as-
       strategic  opportunities,”  notes  Julia  Valentine,  Manag-  sets  are  known  to  be  unstructured,  lack  specific  pat-
       ing Partner at professional services firm AlphaMille.   terns  and,  given  its  high  collection  frequency,  require
                                                           significant  storage  and  processing  resources,”  says
       According to the Alternative Data Global Market Report   Vita Koreneva, AlphaMille Managing Partner.
       2022, North America was the largest region in the alter-
       native data market in 2021. The main categories of al-  “Collecting and analyzing alternative data sets certainly
       ternative  data—characterized  as  the  non-traditional   requires navigating any number of difficulties or outright
       type  from  conventional  sources  that  can  serve  as  an   obstacles,” Valentine warns. “This includes the procure-
       indicator  of  future  performance—are  credit  and  debit   ment  of  expert  personnel  and  cutting-edge  technolo-
       card  transactions,  email  receipts,  geo-location  (foot   gies like analytics, fluid data architecture and data sci-
       traffic) records, mobile application usage, satellite and   ence platforms, as well as testing tools to actually lev-
       weather data, social and sentiment data, web scraped   erage  meaningful  insights  gleaned  from  the  data.  For
       data and web traffic.                               example,  AI  tools  such  as  ML  and  Natural  Language
                                                           Processing  (NLP)  are  used  for  analyzing  alternative
       The driver behind this phenomenon is two-fold: inves-  data, unlocking its insights and value and boosting the
       tors’ appetite for using the data and the providers’ will-  growth  of  these  assets.  ESG  (Environmental,  Social,
       ingness to sell credit card transaction data,” Valentine   Governance) data is a key example of alternative data
       says. “Moreover, data providers have been enhancing   where multiple providers in the public markets are sup-
       their capabilities of sorting credit card transaction data   plemented with the use of multi-modal AI to collect data
       by gender, age, seller, geography and other metrics.”   used by private markets that is unavailable through ex-
                                                           isting data providers.”
       Of course, these types of drill down insights can make
       it  much  easier  to  identify  and  evaluate  opportunities,   According to Valentine, starting or enhancing an alter-
       especially  when  advanced  analytics  and  data  science   native  data  platform  involves  multiple  steps:  design,
       are applied to examining alternative data sets.     plan, source data, integrate, transform, use ML, deploy,
                                                           support and evaluate. A shorter, five-step implementa-
       According to Valentine, these offerings produce a cru-  tion  model  is  also  available  for  entities  that  are  ready
       cial differentiator generating alpha for buy-side entities   for a fast route to value creation.
       like  hedge  funds,  mutual  funds,  private  equity  funds,
       pension funds, unit trusts and life insurance companies.   With such specialized tools and skillsets involved with
                                                           mining and distilling alt data, many understandably out-
       "It’s  essential for investors to have curated  alternative   source the function.
       data  to  make  their  teams,  innovation  and  companies
       more competitive,” said Tracy McWilliams, CEO of In-  “A few key considerations for a prospective profession-
       spire Global Ventures, which launched the JASPY sin-  al  services  partner  involve  their  ability  to  quickly  inte-
       gle  source  private  company  management  system.   grate new solutions with existing infrastructure; cost of
       “Machine  learning-enabled  alternative  data  analytics   data feeds; and proving what they deem to be optimal,
       assist  our  clients,  mid-market  companies  and  invest-  uncorrelated data sets genuinely add quantifiable value
       ment  firms, make  faster  and  more  informed  decisions

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